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		<updated>2026-05-22T07:34:26Z</updated>
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	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3451</id>
		<title>Biotime machine</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3451"/>
				<updated>2019-12-05T10:09:32Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= R installation =&lt;br /&gt;
&lt;br /&gt;
R-3.4.1 was installed in /usr/local/bin. Rstudio is told to use this version via:&lt;br /&gt;
&lt;br /&gt;
 cat /etc/rstudio/rserver.conf&lt;br /&gt;
 &lt;br /&gt;
 # Server Configuration File&lt;br /&gt;
 rsession-which-r=/usr/local/bin/R&lt;br /&gt;
&lt;br /&gt;
== New R ==&lt;br /&gt;
&lt;br /&gt;
A new R installation was compiled by hand and resides in &amp;lt;code&amp;gt;/opt/R-3.5.1&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= Administration =&lt;br /&gt;
&lt;br /&gt;
The executable is &amp;#039;&amp;#039;&amp;#039;rstudio-server&amp;#039;&amp;#039;&amp;#039;. Documentation is available but for the professional version, whihc nonetheless may be useful (see the links section).&lt;br /&gt;
&lt;br /&gt;
There is no manpage, but there is this very concise help which nonethless is useful:&lt;br /&gt;
&lt;br /&gt;
 root@biotime:/etc/rstudio# rstudio-server --help&lt;br /&gt;
 $Usage: rstudio-server {status|start|stop|restart|test-config|verify-installation|suspend-session|suspend-all|force-suspend-session|force-suspend-all|kill-session|kill-all|offline|online|active-sessions|version}&lt;br /&gt;
&lt;br /&gt;
For example to kill a certain session, first find out the PID&lt;br /&gt;
&lt;br /&gt;
 rstudio-server active-sessions &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
then try and suspend&lt;br /&gt;
&lt;br /&gt;
 rstudio-server force-suspend-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
However, suspend does not sound quite aggressive enough, so &lt;br /&gt;
&lt;br /&gt;
 rstudio-server kill-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Will probably do a better job.&lt;br /&gt;
&lt;br /&gt;
= Hanging user sessions =&lt;br /&gt;
&lt;br /&gt;
As well as killing the session, getting rid of the following file&lt;br /&gt;
&lt;br /&gt;
 ~/.rstudio/suspended-session/environment &lt;br /&gt;
&lt;br /&gt;
which can often be quite big, will cure the hanging. There is a link to this post in the links section.&lt;br /&gt;
&lt;br /&gt;
= Memory-style errors =&lt;br /&gt;
&lt;br /&gt;
These used to happen quite often with marvin.&lt;br /&gt;
&lt;br /&gt;
 nutria@biotime:/mnt/rdrive/Bioinformatics$&lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766503] [Hardware Error]: Corrected error, no action required.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766566] [Hardware Error]: CPU:24 (15:2:0) MC4_STATUS[-|CE|MiscV|-|AddrV|-|Poison|CECC]: 0x9c664880011c017b&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766664] [Hardware Error]: MC4_ADDR: 0x0000003a066ab700 &lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766712] [Hardware Error]: MC4 Error (node 3): L3 data cache ECC error.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766767] [Hardware Error]: cache level: L3/GEN, tx: GEN, mem-tx: EV&lt;br /&gt;
&lt;br /&gt;
= Links =&lt;br /&gt;
* [http://docs.rstudio.com/ide/server-pro/index.html Admin guide to Rstudio professional version]&lt;br /&gt;
* [https://support.rstudio.com/hc/en-us/community/posts/200638878-resuming-session-hangup hanging resuming session]&lt;br /&gt;
&lt;br /&gt;
= Vital machine details =&lt;br /&gt;
&lt;br /&gt;
* Remote control (DRAC/IPMI) ip: 138.251.13.226 (simply type as URL in browser. Note there may be security warnings from modern browsers: carry on regardless).&lt;br /&gt;
* User: root&lt;br /&gt;
* Password, the same as IPMI for marvin (obviously cannot write that here).&lt;br /&gt;
* Some basic functions are available on DRAC, such as power on and power cycle, but Remote Console is the most interesting.&lt;br /&gt;
* DRAC can also load an live Linux iso from your local computer and boot it instead of the resident OS, as can the remote console application.&lt;br /&gt;
* Remote console is a JNLP/javaws program which is a deprecated technology. It requires Java 6 and the method for settign up should follow [https://gist.github.com/xbb/4fd651c2493ad9284dbcb827dc8886d6 this].&lt;br /&gt;
* Remote console will allow you login as root using the password for the machine which is the same as above.&lt;br /&gt;
* when updating and rebooting this machine has a tendency (albeit a rare one) to hang at BIOS: simply try rebooting.&lt;br /&gt;
* this machine mostly reboots smoothly, the above statement may be over cautious.&lt;br /&gt;
* Faye Moyes at Ecology is official maintainer. Maria Dornelas is the PI for this machine.&lt;br /&gt;
* IT Security do external scans on the 5th of every month between 6pm and 5am, and they take a couple of days.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3450</id>
		<title>Biotime machine</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3450"/>
				<updated>2019-12-05T10:06:59Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= R installation =&lt;br /&gt;
&lt;br /&gt;
R-3.4.1 was installed in /usr/local/bin. Rstudio is told to use this version via:&lt;br /&gt;
&lt;br /&gt;
 cat /etc/rstudio/rserver.conf&lt;br /&gt;
 &lt;br /&gt;
 # Server Configuration File&lt;br /&gt;
 rsession-which-r=/usr/local/bin/R&lt;br /&gt;
&lt;br /&gt;
= Administration =&lt;br /&gt;
&lt;br /&gt;
The executable is &amp;#039;&amp;#039;&amp;#039;rstudio-server&amp;#039;&amp;#039;&amp;#039;. Documentation is available but for the professional version, whihc nonetheless may be useful (see the links section).&lt;br /&gt;
&lt;br /&gt;
There is no manpage, but there is this very concise help which nonethless is useful:&lt;br /&gt;
&lt;br /&gt;
 root@biotime:/etc/rstudio# rstudio-server --help&lt;br /&gt;
 $Usage: rstudio-server {status|start|stop|restart|test-config|verify-installation|suspend-session|suspend-all|force-suspend-session|force-suspend-all|kill-session|kill-all|offline|online|active-sessions|version}&lt;br /&gt;
&lt;br /&gt;
For example to kill a certain session, first find out the PID&lt;br /&gt;
&lt;br /&gt;
 rstudio-server active-sessions &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
then try and suspend&lt;br /&gt;
&lt;br /&gt;
 rstudio-server force-suspend-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
However, suspend does not sound quite aggressive enough, so &lt;br /&gt;
&lt;br /&gt;
 rstudio-server kill-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Will probably do a better job.&lt;br /&gt;
&lt;br /&gt;
= Hanging user sessions =&lt;br /&gt;
&lt;br /&gt;
As well as killing the session, getting rid of the following file&lt;br /&gt;
&lt;br /&gt;
 ~/.rstudio/suspended-session/environment &lt;br /&gt;
&lt;br /&gt;
which can often be quite big, will cure the hanging. There is a link to this post in the links section.&lt;br /&gt;
&lt;br /&gt;
= Memory-style errors =&lt;br /&gt;
&lt;br /&gt;
These used to happen quite often with marvin.&lt;br /&gt;
&lt;br /&gt;
 nutria@biotime:/mnt/rdrive/Bioinformatics$&lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766503] [Hardware Error]: Corrected error, no action required.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766566] [Hardware Error]: CPU:24 (15:2:0) MC4_STATUS[-|CE|MiscV|-|AddrV|-|Poison|CECC]: 0x9c664880011c017b&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766664] [Hardware Error]: MC4_ADDR: 0x0000003a066ab700 &lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766712] [Hardware Error]: MC4 Error (node 3): L3 data cache ECC error.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766767] [Hardware Error]: cache level: L3/GEN, tx: GEN, mem-tx: EV&lt;br /&gt;
&lt;br /&gt;
= Links =&lt;br /&gt;
* [http://docs.rstudio.com/ide/server-pro/index.html Admin guide to Rstudio professional version]&lt;br /&gt;
* [https://support.rstudio.com/hc/en-us/community/posts/200638878-resuming-session-hangup hanging resuming session]&lt;br /&gt;
&lt;br /&gt;
= Vital machine details =&lt;br /&gt;
&lt;br /&gt;
* Remote control (DRAC/IPMI) ip: 138.251.13.226 (simply type as URL in browser. Note there may be security warnings from modern browsers: carry on regardless).&lt;br /&gt;
* User: root&lt;br /&gt;
* Password, the same as IPMI for marvin (obviously cannot write that here).&lt;br /&gt;
* Some basic functions are available on DRAC, such as power on and power cycle, but Remote Console is the most interesting.&lt;br /&gt;
* DRAC can also load an live Linux iso from your local computer and boot it instead of the resident OS, as can the remote console application.&lt;br /&gt;
* Remote console is a JNLP/javaws program which is a deprecated technology. It requires Java 6 and the method for settign up should follow [https://gist.github.com/xbb/4fd651c2493ad9284dbcb827dc8886d6 this].&lt;br /&gt;
* Remote console will allow you login as root using the password for the machine which is the same as above.&lt;br /&gt;
* when updating and rebooting this machine has a tendency (albeit a rare one) to hang at BIOS: simply try rebooting.&lt;br /&gt;
* this machine mostly reboots smoothly, the above statement may be over cautious.&lt;br /&gt;
* Faye Moyes at Ecology is official maintainer. Maria Dornelas is the PI for this machine.&lt;br /&gt;
* IT Security do external scans on the 5th of every month between 6pm and 5am, and they take a couple of days.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3417</id>
		<title>Biotime machine</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3417"/>
				<updated>2019-08-27T19:11:38Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= R installation =&lt;br /&gt;
&lt;br /&gt;
R-3.4.1 was installed in /usr/local/bin. Rstudio is told to use this version via:&lt;br /&gt;
&lt;br /&gt;
 cat /etc/rstudio/rserver.conf&lt;br /&gt;
 &lt;br /&gt;
 # Server Configuration File&lt;br /&gt;
 rsession-which-r=/usr/local/bin/R&lt;br /&gt;
&lt;br /&gt;
= Administration =&lt;br /&gt;
&lt;br /&gt;
The executable is &amp;#039;&amp;#039;&amp;#039;rstudio-server&amp;#039;&amp;#039;&amp;#039;. Documentation is available but for the professional version, whihc nonetheless may be useful (see the links section).&lt;br /&gt;
&lt;br /&gt;
There is no manpage, but there is this very concise help which nonethless is useful:&lt;br /&gt;
&lt;br /&gt;
 root@biotime:/etc/rstudio# rstudio-server --help&lt;br /&gt;
 $Usage: rstudio-server {status|start|stop|restart|test-config|verify-installation|suspend-session|suspend-all|force-suspend-session|force-suspend-all|kill-session|kill-all|offline|online|active-sessions|version}&lt;br /&gt;
&lt;br /&gt;
For example to kill a certain session, first find out the PID&lt;br /&gt;
&lt;br /&gt;
 rstudio-server active-sessions &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
then try and suspend&lt;br /&gt;
&lt;br /&gt;
 rstudio-server force-suspend-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
However, suspend does not sound quite aggressive enough, so &lt;br /&gt;
&lt;br /&gt;
 rstudio-server kill-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Will probably do a better job.&lt;br /&gt;
&lt;br /&gt;
= Hanging user sessions =&lt;br /&gt;
&lt;br /&gt;
As well as killing the session, getting rid of the following file&lt;br /&gt;
&lt;br /&gt;
 ~/.rstudio/suspended-session/environment &lt;br /&gt;
&lt;br /&gt;
which can often be quite big, will cure the hanging. There is a link to this post in the links section.&lt;br /&gt;
&lt;br /&gt;
= Memory-style errors =&lt;br /&gt;
&lt;br /&gt;
These used to happen quite often with marvin.&lt;br /&gt;
&lt;br /&gt;
 nutria@biotime:/mnt/rdrive/Bioinformatics$&lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766503] [Hardware Error]: Corrected error, no action required.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766566] [Hardware Error]: CPU:24 (15:2:0) MC4_STATUS[-|CE|MiscV|-|AddrV|-|Poison|CECC]: 0x9c664880011c017b&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766664] [Hardware Error]: MC4_ADDR: 0x0000003a066ab700 &lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766712] [Hardware Error]: MC4 Error (node 3): L3 data cache ECC error.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766767] [Hardware Error]: cache level: L3/GEN, tx: GEN, mem-tx: EV&lt;br /&gt;
&lt;br /&gt;
= Links =&lt;br /&gt;
* [http://docs.rstudio.com/ide/server-pro/index.html Admin guide to Rstudio professional version]&lt;br /&gt;
* [https://support.rstudio.com/hc/en-us/community/posts/200638878-resuming-session-hangup hanging resuming session]&lt;br /&gt;
&lt;br /&gt;
= Vital machine details =&lt;br /&gt;
&lt;br /&gt;
* Remote control (DRAC/IPMI) ip: 138.251.13.226 (simply type as URL in browser. Note there may be security warnings from modern browsers: carry on regardless).&lt;br /&gt;
* User: root&lt;br /&gt;
* Password, the same as IPMI for marvin (obviously cannot write that here).&lt;br /&gt;
* Some basic functions are available on DRAC, such as power on and power cycle, but Remote Console is the most interesting.&lt;br /&gt;
* DRAC can also load an live Linux iso from your local computer and boot it instead of the resident OS&lt;br /&gt;
* Remote console is a JNLP program (java) which can be downloaded and run with the latest version of javaws. Or, the browser may launch it automatically&lt;br /&gt;
* Remote console will allow you login using the password.&lt;br /&gt;
* when updating and rebooting this machine has a tendency (albeit a rare one) to hang at BIOS: simply try rebooting.&lt;br /&gt;
* Faye Moyes is temporary owner until Maria is off sabbatical (which Maria I&amp;#039;m not sure of! Ans. Maria Dornelas, the PI for this machine.)&lt;br /&gt;
* IT Security do external scans on the 5th of every month between 6pm and 5am, and they take a couple of days.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNAs&amp;diff=3182</id>
		<title>MicroRNAs</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNAs&amp;diff=3182"/>
				<updated>2018-02-02T14:58:56Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
MicroRNAs take part in the gene silencing by being a component of the multi-protein RISC, the RNA-induced silencing complex which silences genes.&lt;br /&gt;
&lt;br /&gt;
A nature conclusion of this statement is that microRNAs are particularly involved in down-regulation of genes. Nevertheless, they are also associated with up-regulation as well.&lt;br /&gt;
&lt;br /&gt;
MicroRNAs make the journey (i.e. their biogenesis) in the nucleus of the cell and move out and submit to various changes. We start with pri-microRNA, then pre-microRNA which gets split (by DICER usually) the RNA and folds it back on itself rendering it as double stranded RNA (don&amp;#039;t forget RNA is usually single stranded) this fold is achieved thourhg a hairlop arrangement. The loop is then cut off and one of the strands either the plain &amp;quot;-5p&amp;quot; or the reverse strand &amp;quot;-3p&amp;quot; is chosen (it&amp;#039;s poorly understood how this choosing takes place) is loaded onto the ARGONAUT protein, whereupon it begins its operational life as is now called mature microRNA.&lt;br /&gt;
&lt;br /&gt;
= Tools =&lt;br /&gt;
&lt;br /&gt;
As the above description suggests, how and where a pre-microRNA olds back on itself is a critical point, and a well known which uses free energy calculations is &amp;#039;&amp;#039;&amp;#039;RNAfold&amp;#039;&amp;#039;&amp;#039; from the Vienna RNA package.&lt;br /&gt;
&lt;br /&gt;
= Relevant Papers =&lt;br /&gt;
&lt;br /&gt;
== &amp;quot;Predicting effective microRNA target sites in mammalian mRNAs&amp;quot; ==&lt;br /&gt;
By Agarwal et al eLife 2015 , link [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532895 here]&lt;br /&gt;
* miRNA targets involve pairing the miRNA seed region with complementary site on the mRNA in question.&lt;br /&gt;
* A canonical site on an mRNA is the exact complement of the miRNA seed. Most but not all bindings are canonical.&lt;br /&gt;
* miRNAs often bind to mRNA and degrade it (i.e. represses it) so that it produces less protein.&lt;br /&gt;
&lt;br /&gt;
== mirTools paper ==&lt;br /&gt;
Gives good overview of the available tools&lt;br /&gt;
* paper can be found [http://www.tandfonline.com/doi/full/10.4161/rna.25193 here] although their tools website seems to be down (http://centre.bioinformatics.zj.cn/mr2_dev)&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNAs&amp;diff=3181</id>
		<title>MicroRNAs</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNAs&amp;diff=3181"/>
				<updated>2018-02-02T14:55:37Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
MicroRNAs take part in the gene silencing by being a component of the multi-protein RISC, the RNA-induced silencing complex which silences genes.&lt;br /&gt;
&lt;br /&gt;
A nature conclusion of this statement is that microRNAs are particularly involved in down-regulation of genes. Nevertheless, they are also associated with up-regulation as well.&lt;br /&gt;
&lt;br /&gt;
MicroRNAs make the journey (i.e. their biogenesis) in the nucleus of the cell and move out and submit to various changes. We start with pri-microRNA, then pre-microRNA which gets split (by DICER usually) the RNA and folds it back on itself rendering it as double stranded RNA (don&amp;#039;t forget RNA is usually single stranded) this fold is achieved thourhg a hairlop arrangement. The loop is then cut off and one of the strands either the plain &amp;quot;-5p&amp;quot; or the reverse strand &amp;quot;-3p&amp;quot; is chosen (it&amp;#039;s poorly understood how this choosing takes place) is loaded onto the ARGONAUT protein, whereupon it begins its operational life as is now called mature microRNA.&lt;br /&gt;
&lt;br /&gt;
= Tools =&lt;br /&gt;
&lt;br /&gt;
As the above description suggests, how and where a pre-microRNA olds back on itself is a critical point, and a well known which uses free energy calculations is &amp;#039;&amp;#039;&amp;#039;RNAfold&amp;#039;&amp;#039;&amp;#039; from the Vienna RNA package.&lt;br /&gt;
&lt;br /&gt;
= Relevant Papers =&lt;br /&gt;
&lt;br /&gt;
== &amp;quot;Predicting effective microRNA target sites in mammalian mRNAs&amp;quot; ==&lt;br /&gt;
By Agarwal et al eLife 2015 , link [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532895 here]&lt;br /&gt;
* miRNA targets involve pairing the miRNA seed region with complementary site on the mRNA in question.&lt;br /&gt;
* A canonical site on an mRNA is the exact complement of the miRNA seed. Most but not all bindings are canonical.&lt;br /&gt;
* miRNAs often bind to mRNA and degrade it (i.e. represses it) so that it produces less protein.&lt;br /&gt;
&lt;br /&gt;
== mirTools paper ==&lt;br /&gt;
Gives good overview of the available tools&lt;br /&gt;
* paper can be found [http://www.tandfonline.com/doi/full/10.4161/rna.25193 here]&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNAs&amp;diff=3180</id>
		<title>MicroRNAs</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNAs&amp;diff=3180"/>
				<updated>2018-02-02T14:42:00Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
MicroRNAs take part in the gene silencing by being a component of the multi-protein RISC, the RNA-induced silencing complex which silences genes.&lt;br /&gt;
&lt;br /&gt;
A nature conclusion of this statement is that microRNAs are particularly involved in down-regulation of genes. Nevertheless, they are also associated with up-regulation as well.&lt;br /&gt;
&lt;br /&gt;
MicroRNAs make the journey (i.e. their biogenesis) in the nucleus of the cell and move out and submit to various changes. We start with pri-microRNA, then pre-microRNA which gets split (by DICER usually) the RNA and folds it back on itself rendering it as double stranded RNA (don&amp;#039;t forget RNA is usually single stranded) this fold is achieved thourhg a hairlop arrangement. The loop is then cut off and one of the strands either the plain &amp;quot;-5p&amp;quot; or the reverse strand &amp;quot;-3p&amp;quot; is chosen (it&amp;#039;s poorly understood how this choosing takes place) is loaded onto the ARGONAUT protein, whereupon it begins its operational life as is now called mature microRNA.&lt;br /&gt;
&lt;br /&gt;
= Tools =&lt;br /&gt;
&lt;br /&gt;
As the above description suggests, how and where a pre-microRNA olds back on itself is a critical point, and a well known which uses free energy calculations is &amp;#039;&amp;#039;&amp;#039;RNAfold&amp;#039;&amp;#039;&amp;#039; from the Vienna RNA package.&lt;br /&gt;
&lt;br /&gt;
= Relevant Papers =&lt;br /&gt;
&lt;br /&gt;
== &amp;quot;Predicting effective microRNA target sites in mammalian mRNAs&amp;quot; ==&lt;br /&gt;
By Agarwal et al eLife 2015 , link [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532895 here]&lt;br /&gt;
* miRNA targets involve pairing the miRNA seed region with complementary site on the mRNA in question.&lt;br /&gt;
* A canonical site on an mRNA is the exact complement of the miRNA seed. Most but not all bindings are canonical.&lt;br /&gt;
* miRNAs often bind to mRNA and degrade it (i.e. represses it) so that it produces less protein.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNAs&amp;diff=3179</id>
		<title>MicroRNAs</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNAs&amp;diff=3179"/>
				<updated>2018-02-02T14:14:35Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
MicroRNAs take part in the gene silencing by being a component of the multi-protein RISC, the RNA-induced silencing complex which silences genes.&lt;br /&gt;
&lt;br /&gt;
A nature conclusion of this statement is that microRNAs are particularly involved in down-regulation of genes. Nevertheless, they are also associated with up-regulation as well.&lt;br /&gt;
&lt;br /&gt;
MicroRNAs make the journey (i.e. their biogenesis) in the nucleus of the cell and move out and submit to various changes. We start with pri-microRNA, then pre-microRNA which gets split (by DICER usually) the RNA and folds it back on itself rendering it as double stranded RNA (don&amp;#039;t forget RNA is usually single stranded) this fold is achieved thourhg a hairlop arrangement. The loop is then cut off and one of the strands either the plain &amp;quot;-5p&amp;quot; or the reverse strand &amp;quot;-3p&amp;quot; is chosen (it&amp;#039;s poorly understood how this choosing takes place) is loaded onto the ARGONAUT protein, whereupon it begins its operational life as is now called mature microRNA.&lt;br /&gt;
&lt;br /&gt;
= Tools =&lt;br /&gt;
&lt;br /&gt;
As the above description suggests, how and where a pre-microRNA olds back on itself is a critical point, and a well known which uses free energy calculations is RNAfold from the Vienna RNA package.&lt;br /&gt;
&lt;br /&gt;
= Relevant Papers =&lt;br /&gt;
&lt;br /&gt;
== &amp;quot;Predicting effective microRNA target sites in mammalian mRNAs&amp;quot; ==&lt;br /&gt;
By Agarwal et al eLife 2015 , link [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532895 here]&lt;br /&gt;
* miRNA targets involve pairing the miRNA seed region with complementary site on the mRNA in question.&lt;br /&gt;
* A canonical site on an mRNA is the exact complement of the miRNA seed. Most but not all bindings are canonical.&lt;br /&gt;
* miRNAs often bind to mRNA and degrade it (i.e. represses it) so that it produces less protein.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3178</id>
		<title>Marvin and IPMI (remote hardware control)</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3178"/>
				<updated>2018-02-02T12:38:26Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
For example, when networking goes down on marvin and yet the machine is still up, ssh can no longer be used, so the administrator is stuck.&lt;br /&gt;
&lt;br /&gt;
However all modern, industrial grade (i.e. non-consumer) servers now include a separate subsystem on the machine which is independent of the main machine. This is known by various names, and there is a standard called IPMI, which is what Supermicro calls it. Dell calls it DRAC and HP calls it LightsOn (or something to that effect).&lt;br /&gt;
&lt;br /&gt;
It can be seen as a hardware remote control system and is a device which include a network connection so one can login to the IPMI module and send hardware commands (principally power-on and power-cycle) to the main machine.&lt;br /&gt;
&lt;br /&gt;
Despite IPMI&amp;#039;s isolation from the main system, it is not immune to faults of its own, in which case, the only cure is to ring Ian at IT Services and physically go to the datacentre. Unfortunately, IPMI tends not to cooperate exactly when the man machines has problems of its own, which is disappointing because that&amp;#039;s exactly when it&amp;#039;s needed. Nevertheless, IPMI is better than nothing and has proved useful on many occasions.&lt;br /&gt;
&lt;br /&gt;
= Details =&lt;br /&gt;
&lt;br /&gt;
Marvin&amp;#039;s nodes can all be remotely controlled but only in marvin itself. So the usual exercise is to run firefox on marvin and connect to the node&amp;#039;s IPMI IPs there.&lt;br /&gt;
&lt;br /&gt;
When marvin&amp;#039;s IPMI itself needs to be used, then this can be done from another computer within the University campus.&lt;br /&gt;
&lt;br /&gt;
There is a standalone GUI application called IPMIconfig which does then same things as the IPMI web interface, but because it doesn&amp;#039;t need a browser, can be faster.&lt;br /&gt;
&lt;br /&gt;
The virtual console on IPMI&amp;#039;s web interface uses JNLP (javaws) program and is the best implementation, but it can be patchy. It also allows the loading of a local Live Linux ISO file so that the machine may be booted from it, though this can be a bit tortuous. Certainly, it is very clear that Supermicro&amp;#039;s IPMI interface is considerably inferior to Dell&amp;#039;s DRAC interface used on the biotime machine. Nevertheless, it is possible to boot the recommended Linux Live ISO, [http://www.system-rescue-cd.org sysrescuecd] on Supermicro&amp;#039;s IPMI.&lt;br /&gt;
&lt;br /&gt;
Again it must be repeated that the virtual console&amp;#039;s functioning is patchy. An even less dependable version of Virtual Console is SOL. It may seem silly to mention SOL when it is even worse than Virtual console, however it has one or two crucial advantages which make it the holy grail of remote hardware control:&lt;br /&gt;
* SOL is a raw terminal connection to the login screen of the main machine.&lt;br /&gt;
* it does not operate via buggy GUI&amp;#039;s and web interfaces.&lt;br /&gt;
* one can connect via the command line and record all input and output via your local linux computer&amp;#039;s &amp;quot;script&amp;quot; progam (see &amp;quot;man script&amp;quot;).&lt;br /&gt;
* When it works, it is much faster than the alternatives.&lt;br /&gt;
* It behaves as if one really was sitting down locally at the machine, looking at the login screen.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3177</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3177"/>
				<updated>2018-02-02T12:36:59Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Usage of Cluster=&lt;br /&gt;
* [[Cluster Manual]]&lt;br /&gt;
* [[Why a Queue Manager?]]&lt;br /&gt;
* [[Available Software]]&lt;br /&gt;
&lt;br /&gt;
= Documented Programs =&lt;br /&gt;
&lt;br /&gt;
The following can be seen as extra notes referring to these programs usage on the marvin cluster, with an emphais on example use-cases. Most, if not all, will have their own special websites, with more detailed manuals and further information.&lt;br /&gt;
&lt;br /&gt;
{|style=&amp;quot;width:85%&amp;quot;&lt;br /&gt;
|* [[abacas]]&lt;br /&gt;
|* [[albacore]]&lt;br /&gt;
|* [[ariba]]&lt;br /&gt;
|* [[aspera]]&lt;br /&gt;
|* [[assembly-stats]]&lt;br /&gt;
|* [[augustus]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BamQC]]&lt;br /&gt;
|* [[bamtools]]&lt;br /&gt;
|* [[banjo]]&lt;br /&gt;
|* [[bcftools]]&lt;br /&gt;
|* [[bedtools]]&lt;br /&gt;
|* [[bgenie]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BLAST]]&lt;br /&gt;
|* [[Blat]]&lt;br /&gt;
|* [[blast2go: b2g4pipe]]&lt;br /&gt;
|* [[bowtie]]&lt;br /&gt;
|* [[bowtie2]]&lt;br /&gt;
|* [[bwa]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BUSCO]]&lt;br /&gt;
|* [[CAFE]]&lt;br /&gt;
|* [[canu]]&lt;br /&gt;
|* [[cd-hit]]&lt;br /&gt;
|* [[cegma]]&lt;br /&gt;
|* [[clustal]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[cramtools]]&lt;br /&gt;
|* [[deeptools]]&lt;br /&gt;
|* [[detonate]]&lt;br /&gt;
|* [[diamond]]&lt;br /&gt;
|* [[ea-utils]]&lt;br /&gt;
|* [[ensembl]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[ETE]]&lt;br /&gt;
|* [[FASTQC and MultiQC]]&lt;br /&gt;
|* [[Archaeopteryx and Forester]]&lt;br /&gt;
|* [[GapFiller]]&lt;br /&gt;
|* [[GenomeTools]]&lt;br /&gt;
|* [[gubbins]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[JBrowse]]&lt;br /&gt;
|* [[kallisto]]&lt;br /&gt;
|* [[kentUtils]]&lt;br /&gt;
|* [[last]]&lt;br /&gt;
|* [[lastz]]&lt;br /&gt;
|* [[macs2]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[Mash]]&lt;br /&gt;
|* [[mega]]&lt;br /&gt;
|* [[meryl]]&lt;br /&gt;
|* [[MUMmer]]&lt;br /&gt;
|* [[NanoSim]]&lt;br /&gt;
|* [[nseq]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[OrthoFinder]]&lt;br /&gt;
|* [[PASA]]&lt;br /&gt;
|* [[perl]]&lt;br /&gt;
|* [[PGAP]]&lt;br /&gt;
|* [[picard-tools]]&lt;br /&gt;
|* [[poRe]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[poretools]]&lt;br /&gt;
|* [[prokka]]&lt;br /&gt;
|* [[pyrad]]&lt;br /&gt;
|* [[python]]&lt;br /&gt;
|* [[qualimap]]&lt;br /&gt;
|* [[quast]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[qiime2]]&lt;br /&gt;
|* [[R]]&lt;br /&gt;
|* [[RAxML]]&lt;br /&gt;
|* [[Repeatmasker]]&lt;br /&gt;
|* [[Repeatmodeler]]&lt;br /&gt;
|* [[rnammer]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[roary]]&lt;br /&gt;
|* [[RSeQC]]&lt;br /&gt;
|* [[samtools]]&lt;br /&gt;
|* [[Satsuma]]&lt;br /&gt;
|* [[sickle]]&lt;br /&gt;
|* [[SPAdes]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[squid]]&lt;br /&gt;
|* [[sra-tools]]&lt;br /&gt;
|* [[srst2]]&lt;br /&gt;
|* [[SSPACE]]&lt;br /&gt;
|* [[stacks]]&lt;br /&gt;
|* [[Thor]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[Tophat]]&lt;br /&gt;
|* [[trimmomatic]]&lt;br /&gt;
|* [[Trinity]]&lt;br /&gt;
|* [[t-coffee]]&lt;br /&gt;
|* [[Unicycler]]&lt;br /&gt;
|* [[velvet]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[ViennaRNA]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
= Queue Manager Tips =&lt;br /&gt;
A cluster is a shared resource with different users running different types of analyses. Nearly all clusters use a piece of software called a queue manager to fairly share out the resource. The queue manager on marvin is called Grid Engine, and it has several commands available, all beginning with &amp;#039;&amp;#039;&amp;#039;q&amp;#039;&amp;#039;&amp;#039; and with &amp;#039;&amp;#039;&amp;#039;qsub&amp;#039;&amp;#039;&amp;#039; being the most commonly used as it submits a command via a jobscript to be processed. Here are some tips:&lt;br /&gt;
* [[Queue Manager Tips]]&lt;br /&gt;
* [[General Command-line Tips]]&lt;br /&gt;
* [[DRMAA for further Gridengine automation]]&lt;br /&gt;
&lt;br /&gt;
= Data Examples =&lt;br /&gt;
* [[Two Eel Scaffolds]]&lt;br /&gt;
&lt;br /&gt;
= Procedures =&lt;br /&gt;
(short sequence of tasks with a certain short-term goal, often, a simple script)&lt;br /&gt;
* [[Calculating coverage]]&lt;br /&gt;
* [[MinION Coverage sensitivity analysis]]&lt;br /&gt;
&lt;br /&gt;
= Navigating genomic data websites=&lt;br /&gt;
* [[Patric]]&lt;br /&gt;
* [[NCBI]]&lt;br /&gt;
* [[IGSR/1000 Genomes]]&lt;br /&gt;
&lt;br /&gt;
= Explanations=&lt;br /&gt;
* [[ITUcourse]]&lt;br /&gt;
* [[VCF]]&lt;br /&gt;
* [[Maximum Likelihood]]&lt;br /&gt;
* [[SNP Analysis and phylogenetics]]&lt;br /&gt;
* [[Normalization]]&lt;br /&gt;
&lt;br /&gt;
= Pipelines =&lt;br /&gt;
(Workflow with specific end-goals)&lt;br /&gt;
* [[Trinity_Protocol]]&lt;br /&gt;
* [[STAR BEAST]]&lt;br /&gt;
* [[callSNPs.py]]&lt;br /&gt;
* [[pairwiseCallSNPs]]&lt;br /&gt;
* [[mapping.py]]&lt;br /&gt;
* [[Edgen RNAseq]]&lt;br /&gt;
* [[Miseq Prokaryote FASTQ analysis]]&lt;br /&gt;
* [[snpcallphylo]]&lt;br /&gt;
* [[Bottlenose dolphin population genomic analysis]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 12.09.2017]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 07.11.2017]]&lt;br /&gt;
* [[Bisulfite Sequencing]]&lt;br /&gt;
* [[microRNA and Salmo Salar]]&lt;br /&gt;
&lt;br /&gt;
=Protocols=&lt;br /&gt;
(Extensive workflows with different with several possible end goals)&lt;br /&gt;
* [[Synthetic Long reads]]&lt;br /&gt;
* [[MinION (Oxford Nanopore)]]&lt;br /&gt;
* [[MinKNOW folders and log files]]&lt;br /&gt;
* [[Research Data Management]]&lt;br /&gt;
* [[MicroRNAs]]&lt;br /&gt;
&lt;br /&gt;
= Tech Reviews =&lt;br /&gt;
* [[SWATH-MS Data Analysis]]&lt;br /&gt;
&lt;br /&gt;
= Cluster Administration =&lt;br /&gt;
* [[Hardware Issues]]&lt;br /&gt;
* [[marvin and IPMI (remote hardware control)]]&lt;br /&gt;
* [[Admin Tips]]&lt;br /&gt;
* [[RedHat]]&lt;br /&gt;
* [[Globus_gridftp]]&lt;br /&gt;
* [[Galaxy Setup]]&lt;br /&gt;
* [[Son of Gridengine]]&lt;br /&gt;
* [[Blas Libraries]]&lt;br /&gt;
* [[CMake]]&lt;br /&gt;
* [[Users and Groups]]&lt;br /&gt;
* [[Installing software on marvin]]&lt;br /&gt;
* [[emailing]]&lt;br /&gt;
* [[biotime machine]]&lt;br /&gt;
* [[SCAN-pc laptop]]&lt;br /&gt;
* [[node1 issues]]&lt;br /&gt;
* [[6TB storage expansion]]&lt;br /&gt;
* [[SAN relocation task]]&lt;br /&gt;
* [[Home directories max-out incident 28.11.2016]]&lt;br /&gt;
* [[Frontend Restart]]&lt;br /&gt;
* [[environment-modules]]&lt;br /&gt;
* [[H: drive on cluster]]&lt;br /&gt;
* [[Incident: Can&amp;#039;t connect to BerkeleyDB]]&lt;br /&gt;
* [[Bioinformatics Wordpress Site]]&lt;br /&gt;
* [[Backups]]&lt;br /&gt;
* [[Python DRMAA]]&lt;br /&gt;
* [[SAN disconnect incident 10.01.2017]]&lt;br /&gt;
* [[Memory repair glitch 16.02.2017]]&lt;br /&gt;
* [[node9 network failure incident 16-20.03.2017]]&lt;br /&gt;
* [[Incorrect rebooting of marvin 19.09.2017]]&lt;br /&gt;
&lt;br /&gt;
= Courses =&lt;br /&gt;
&lt;br /&gt;
==I2U4BGA==&lt;br /&gt;
* [[Original schedule]]&lt;br /&gt;
* [[New schedule]]&lt;br /&gt;
* [[Actual schedule]]&lt;br /&gt;
* [[Course itself]]&lt;br /&gt;
* [[Biolinux Source course]]&lt;br /&gt;
* [[Directory Organization Exercise]]&lt;br /&gt;
* [[Glossary]]&lt;br /&gt;
* [[Key Bindings]]&lt;br /&gt;
* [[one-liners]]&lt;br /&gt;
* [[Cheatsheets]]&lt;br /&gt;
* [[Links]]&lt;br /&gt;
* [[pandoc modified manual]]&lt;br /&gt;
* [[Command Line Exercises]]&lt;br /&gt;
&lt;br /&gt;
= hdi2u =&lt;br /&gt;
&lt;br /&gt;
The half-day linux course held on 20th April. Modified version of I2U4BGA.&lt;br /&gt;
&lt;br /&gt;
* [[hdi2u_intro]]&lt;br /&gt;
* [[hdi2u_commandbased_exercises]]&lt;br /&gt;
* [[hdi2u_dirorg_exercise]]&lt;br /&gt;
* [[hdi2u_rendertotsv_exercise]]&lt;br /&gt;
&lt;br /&gt;
= RNAseq for DGE =&lt;br /&gt;
* [[Theoretical background]]&lt;br /&gt;
* [[Quality Control and Preprocessing]]&lt;br /&gt;
* [[Mapping to Reference]]&lt;br /&gt;
* [[Mapping Quality Exercise]]&lt;br /&gt;
* [[Key Aspects of using R]]&lt;br /&gt;
* [[Estimating Gene Count Exercise]]&lt;br /&gt;
* [[Differential Expression Exercise]]&lt;br /&gt;
* [[Functional Analysis Exercise]]&lt;br /&gt;
&lt;br /&gt;
= Introduction to Unix 2017 =&lt;br /&gt;
* [[Introduction_to_Unix_2017]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Templates==&lt;br /&gt;
* [[edgenl2g]]&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3175</id>
		<title>Marvin and IPMI (remote hardware control)</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3175"/>
				<updated>2018-02-02T12:36:32Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: Rf moved page Marvin and IPMI (remote hardware control to Marvin and IPMI (remote hardware control): missing end parens!&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
For example, when networking goes down on marvin and yet the machine is still up, ssh can no longer be used, so the administrator is stuck.&lt;br /&gt;
&lt;br /&gt;
However all modern, industrial grade (i.e. non-consumer) server now include a separate subsystem on the machine which is independent of the main machine. This is known by various names, and there is a standard called IPMI, which is what Supermicor calls it. Dell calls it DRAC and HP calls it LightsOn (or something to that effect).&lt;br /&gt;
&lt;br /&gt;
It can be seen as a hardware remote control system and the devices include a network connection so one can login to the IPMI module and send hardware commands (principally power-on and power-cycle).&lt;br /&gt;
&lt;br /&gt;
Despite IPMI&amp;#039;s isolation from the main system, it is not immune to faults of its own, in which case, the only cure is to ring Ian at Services and go to the datacentre. Unfortunately, IPMI tends not to cooperate exactly when the man machines has problems of its own, which is disappointing because that&amp;#039;s exactly when it&amp;#039;s needed. Nevertheless, IPMI is better than nothing and has proved useful on many occasions.&lt;br /&gt;
&lt;br /&gt;
= Details =&lt;br /&gt;
&lt;br /&gt;
Marvin&amp;#039;s nodes can all be remotely controlled but only in marvin itself. So the usual exercise is to run firefox on marvin and connect to the node&amp;#039;s IPMI IPs there.&lt;br /&gt;
&lt;br /&gt;
When marvin&amp;#039;s IPMI itself needs to be used, then this can be done from another computer within the University campus.&lt;br /&gt;
&lt;br /&gt;
There is a standalone GUI application called IPMIconfig which does then same things as the IPMI web interface, but because it doesn&amp;#039;t need a browser, can be faster.&lt;br /&gt;
&lt;br /&gt;
The virtual console on IPMI&amp;#039;s web interface uses JNLP (javaws) program and is the best implementation, but it can be patchy. It also allows the loading of a local Live Linux ISO file so that the machine may be booted from it, though this can be a bit tortuous. Certainly, it is very clear that Supermicro&amp;#039;s IPMI interface is considerably inferior to Dell&amp;#039;s DRAC interface used on the biotime machine. Nevertheless, it is possible to boot the recommended Linux Live ISO, [http://www.system-rescue-cd.org sysrescuecd] on Supermicro&amp;#039;s IPMI.&lt;br /&gt;
&lt;br /&gt;
Again it must be repeated that the virtual console&amp;#039;s functioning is patchy. An even less dependable version of Virtual Console is SOL. It may seem silly to mention SOL when it is even worse than Virtual console, however it has one or two crucial advantages which make it the holy grail of remote hardware control:&lt;br /&gt;
* SOL is a raw terminal connection to the login screen of the main machine.&lt;br /&gt;
* it does not operate via buggy GUI&amp;#039;s and web interfaces.&lt;br /&gt;
* one can connect via the command line and record all input and output via your local linux computer&amp;#039;s &amp;quot;script&amp;quot; progam (see &amp;quot;man script&amp;quot;).&lt;br /&gt;
* When it works, it is much faster than the alternatives.&lt;br /&gt;
* It behaves as if one really was sitting down locally at the machine, looking at the login screen.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control&amp;diff=3176</id>
		<title>Marvin and IPMI (remote hardware control</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control&amp;diff=3176"/>
				<updated>2018-02-02T12:36:32Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: Rf moved page Marvin and IPMI (remote hardware control to Marvin and IPMI (remote hardware control): missing end parens!&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;#REDIRECT [[Marvin and IPMI (remote hardware control)]]&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3174</id>
		<title>Marvin and IPMI (remote hardware control)</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3174"/>
				<updated>2018-02-02T12:35:17Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
For example, when networking goes down on marvin and yet the machine is still up, ssh can no longer be used, so the administrator is stuck.&lt;br /&gt;
&lt;br /&gt;
However all modern, industrial grade (i.e. non-consumer) server now include a separate subsystem on the machine which is independent of the main machine. This is known by various names, and there is a standard called IPMI, which is what Supermicor calls it. Dell calls it DRAC and HP calls it LightsOn (or something to that effect).&lt;br /&gt;
&lt;br /&gt;
It can be seen as a hardware remote control system and the devices include a network connection so one can login to the IPMI module and send hardware commands (principally power-on and power-cycle).&lt;br /&gt;
&lt;br /&gt;
Despite IPMI&amp;#039;s isolation from the main system, it is not immune to faults of its own, in which case, the only cure is to ring Ian at Services and go to the datacentre. Unfortunately, IPMI tends not to cooperate exactly when the man machines has problems of its own, which is disappointing because that&amp;#039;s exactly when it&amp;#039;s needed. Nevertheless, IPMI is better than nothing and has proved useful on many occasions.&lt;br /&gt;
&lt;br /&gt;
= Details =&lt;br /&gt;
&lt;br /&gt;
Marvin&amp;#039;s nodes can all be remotely controlled but only in marvin itself. So the usual exercise is to run firefox on marvin and connect to the node&amp;#039;s IPMI IPs there.&lt;br /&gt;
&lt;br /&gt;
When marvin&amp;#039;s IPMI itself needs to be used, then this can be done from another computer within the University campus.&lt;br /&gt;
&lt;br /&gt;
There is a standalone GUI application called IPMIconfig which does then same things as the IPMI web interface, but because it doesn&amp;#039;t need a browser, can be faster.&lt;br /&gt;
&lt;br /&gt;
The virtual console on IPMI&amp;#039;s web interface uses JNLP (javaws) program and is the best implementation, but it can be patchy. It also allows the loading of a local Live Linux ISO file so that the machine may be booted from it, though this can be a bit tortuous. Certainly, it is very clear that Supermicro&amp;#039;s IPMI interface is considerably inferior to Dell&amp;#039;s DRAC interface used on the biotime machine. Nevertheless, it is possible to boot the recommended Linux Live ISO, [http://www.system-rescue-cd.org sysrescuecd] on Supermicro&amp;#039;s IPMI.&lt;br /&gt;
&lt;br /&gt;
Again it must be repeated that the virtual console&amp;#039;s functioning is patchy. An even less dependable version of Virtual Console is SOL. It may seem silly to mention SOL when it is even worse than Virtual console, however it has one or two crucial advantages which make it the holy grail of remote hardware control:&lt;br /&gt;
* SOL is a raw terminal connection to the login screen of the main machine.&lt;br /&gt;
* it does not operate via buggy GUI&amp;#039;s and web interfaces.&lt;br /&gt;
* one can connect via the command line and record all input and output via your local linux computer&amp;#039;s &amp;quot;script&amp;quot; progam (see &amp;quot;man script&amp;quot;).&lt;br /&gt;
* When it works, it is much faster than the alternatives.&lt;br /&gt;
* It behaves as if one really was sitting down locally at the machine, looking at the login screen.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3173</id>
		<title>Marvin and IPMI (remote hardware control)</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3173"/>
				<updated>2018-02-02T12:34:08Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
For example, when networking goes down on marvin and yet the machine is still up, ssh can no longer be used, so the administrator is stuck.&lt;br /&gt;
&lt;br /&gt;
However all modern, industrial grade (i.e. non-consumer) server now include a separate subsystem on the machine which is independent of the main machine. This is known by various names, and there is a standard called IPMI, which is what Supermicor calls it. Dell calls it DRAC and HP calls it LightsOn (or something to that effect).&lt;br /&gt;
&lt;br /&gt;
It can be seen as a hardware remote control system and the devices include a network connection so one can login to the IPMI module and send hardware commands (principally power-on and power-cycle).&lt;br /&gt;
&lt;br /&gt;
Despite IPMI&amp;#039;s isolation from the main system, it is not immune to faults of its own, in which case, the only cure is to ring Ian at Services and go to the datacentre. Unfortunately, IPMI tends not to cooperate exactly when the man machines has problems of its own, which is disappointing because that&amp;#039;s exactly when it&amp;#039;s needed. Nevertheless, IPMI is better than nothing and has proved useful on many occasions.&lt;br /&gt;
&lt;br /&gt;
= Details =&lt;br /&gt;
&lt;br /&gt;
Marvin&amp;#039;s nodes can all be remotely controlled but only in marvin itself. So the usual exercise is to run firefox on marvin and connect to the node&amp;#039;s IPMI IPs there.&lt;br /&gt;
&lt;br /&gt;
When marvin&amp;#039;s IPMI itself needs to be used, then this can be done from another computer within the University campus.&lt;br /&gt;
&lt;br /&gt;
There is a standalone GUI application called IPMIconfig which does then same things as the IPMI web interface, but because it doesn&amp;#039;t need a browser, can be faster.&lt;br /&gt;
&lt;br /&gt;
The virtual console on IPMI&amp;#039;s web interface uses JNLP (javaws) program and is the best implementation, but it can be patchy. It also allows the loading of a local Live Linux ISO file so that the machine may be booted from it, though this can be a bit tortuous. Certainly, it is very clear that Supermicro&amp;#039;s IPMI interface is considerably inferior to Dell&amp;#039;s DRAC interface used on the biotime machine. Nevertheless, it is possible to boot the recommended Linux Live ISO, [http://www.system-rescue-cd.org sysrescuecd] on Supermicro&amp;#039;s IPMI.&lt;br /&gt;
&lt;br /&gt;
Again it must be repeated that the virtual console&amp;#039;s functioning is patchy. An even less dependable version of Virtual Console is SOL. It may seem silly to mention SOL when it is even worse than Virtual console, however it has one or two crucial advantages which make it the holy grail of remote hardware control:&lt;br /&gt;
* SOL is a raw terminal connection to the login screen of the main machine.&lt;br /&gt;
* it does not operate via buggy GUI&amp;#039;s and web interfaces.&lt;br /&gt;
* one can connect via the command line and record all input and output via your local linux computer&amp;#039;s &amp;quot;script&amp;quot; progam (see &amp;quot;man script&amp;quot;).&lt;br /&gt;
* When it works, it is much faster than the alternatives.&lt;br /&gt;
* It behaves as if one really was sittigng down locally at the machine, looking at the login screen.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3172</id>
		<title>Marvin and IPMI (remote hardware control)</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3172"/>
				<updated>2018-02-02T12:33:13Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
For example, when networking goes down on marvin and yet the machine is still up, ssh can no longer be used, so the administrator is stuck.&lt;br /&gt;
&lt;br /&gt;
However all modern, industrial grade (i.e. non-consumer) server now include a separate subsystem on the machine which is independent of the main machine. This is known by various names, and there is a standard called IPMI, which is what Supermicor calls it. Dell calls it DRAC and HP calls it LightsOn (or something to that effect).&lt;br /&gt;
&lt;br /&gt;
It can be seen as a hardware remote control system and the devices include a network connection so one can login to the IPMI module and send hardware commands (principally power-on and power-cycle).&lt;br /&gt;
&lt;br /&gt;
Despite IPMI&amp;#039;s isolation from the main system, it is not immune to faults of its own, in which case, the only cure is to ring Ian at Services and go to the datacentre. Unfortunately, IPMI tends not to cooperate exactly when the man machines has problems of its own, which is disappointing because that&amp;#039;s exactly when it&amp;#039;s needed. Nevertheless, IPMI is better than nothing and has proved useful on many occasions.&lt;br /&gt;
&lt;br /&gt;
= Details =&lt;br /&gt;
&lt;br /&gt;
Marvin&amp;#039;s nodes can all be remotely controlled but only in marvin itself. So the usual exercise is to run firefox on marvin and connect to the IPMI IPs there.&lt;br /&gt;
&lt;br /&gt;
When marvin&amp;#039;s IPMI itself needs to be used, then this can be done from another computer within the University campus.&lt;br /&gt;
&lt;br /&gt;
There is a standalone GUI application called IPMIconfig which does then same things as the IPMI web interface, but because it doesn&amp;#039;t need a browser, can be faster.&lt;br /&gt;
&lt;br /&gt;
The virtual console on IPMI&amp;#039;s web interface uses JNLP (javaws) program and is the best implementation, but it can be patchy. It also allows the loading of a local Live Linux ISO file so that the machine may be booted from it, though this can be a bit tortuous. Certainly, it is very clear that Supermicro&amp;#039;s IPMI interface is considerably inferior to Dell&amp;#039;s DRAC interface used on the biotime machine. Nevertheless, it is possible to boot the recommended Linux Live ISO, [http://www.system-rescue-cd.org sysrescuecd]on Supermicro&amp;#039;s IPMI.&lt;br /&gt;
&lt;br /&gt;
Again it must be repeated that the virtual console&amp;#039;s functioning is patchy. An even less dependable version of Virtual Console is SOL. It may seem silly to mention SOL when it is even worse than Virtual console, however it has one or two crucial advantages which make it the holy grail of remote hardware control:&lt;br /&gt;
* SOL is a raw terminal connection to the login screen of the main machine.&lt;br /&gt;
* it does not operate via buggy GUI&amp;#039;s and web interfaces.&lt;br /&gt;
* one can connect via the command line and record all input and output via your local linux computer&amp;#039;s &amp;quot;script&amp;quot; progam (see &amp;quot;man script&amp;quot;).&lt;br /&gt;
* When it works, it is much faster than the alternatives.&lt;br /&gt;
* It behaves as if one really was sittigng down locally at the machine, looking at the login screen.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3171</id>
		<title>Marvin and IPMI (remote hardware control)</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Marvin_and_IPMI_(remote_hardware_control)&amp;diff=3171"/>
				<updated>2018-02-02T12:20:00Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: Created page with &amp;quot;= Introduction =  For example, when networking goes down on marvin and yet the machine is still up, ssh can no longer be used, so the administrator is stuck.  However all mode...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
For example, when networking goes down on marvin and yet the machine is still up, ssh can no longer be used, so the administrator is stuck.&lt;br /&gt;
&lt;br /&gt;
However all modern, industrial grade (i.e. non-consumer) server now include a separate subsystem on the machine which is independent of the main machine. This is known by various names, and there is a standard called IPMI, which is what Supermicor calls it. Dell calls it DRAC and HP calls it LightsOn (or something to that effect).&lt;br /&gt;
&lt;br /&gt;
It can be seen as a hardware remote control system and the devices include a network connection so one can login to the IPMI module and send hardware commands (principally power-on and power-cycle).&lt;br /&gt;
&lt;br /&gt;
Despite IPMI&amp;#039;s isolation from the main system, it is not immune to faults of its own, in which case, the only cure is to ring Ian at Services and go to the datacentre. Unfortunately, IPMI tends not to cooperate exactly when the man machines has problems of its own, which is disappointing because that&amp;#039;s exactly when it&amp;#039;s needed. Nevertheless, IPMI is better than nothing and has proved useful on many occasions.&lt;br /&gt;
&lt;br /&gt;
= Details =&lt;br /&gt;
&lt;br /&gt;
Marvin&amp;#039;s nodes can all be remotely controlled by running&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3170</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3170"/>
				<updated>2018-02-02T11:54:40Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Usage of Cluster=&lt;br /&gt;
* [[Cluster Manual]]&lt;br /&gt;
* [[Why a Queue Manager?]]&lt;br /&gt;
* [[Available Software]]&lt;br /&gt;
&lt;br /&gt;
= Documented Programs =&lt;br /&gt;
&lt;br /&gt;
The following can be seen as extra notes referring to these programs usage on the marvin cluster, with an emphais on example use-cases. Most, if not all, will have their own special websites, with more detailed manuals and further information.&lt;br /&gt;
&lt;br /&gt;
{|style=&amp;quot;width:85%&amp;quot;&lt;br /&gt;
|* [[abacas]]&lt;br /&gt;
|* [[albacore]]&lt;br /&gt;
|* [[ariba]]&lt;br /&gt;
|* [[aspera]]&lt;br /&gt;
|* [[assembly-stats]]&lt;br /&gt;
|* [[augustus]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BamQC]]&lt;br /&gt;
|* [[bamtools]]&lt;br /&gt;
|* [[banjo]]&lt;br /&gt;
|* [[bcftools]]&lt;br /&gt;
|* [[bedtools]]&lt;br /&gt;
|* [[bgenie]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BLAST]]&lt;br /&gt;
|* [[Blat]]&lt;br /&gt;
|* [[blast2go: b2g4pipe]]&lt;br /&gt;
|* [[bowtie]]&lt;br /&gt;
|* [[bowtie2]]&lt;br /&gt;
|* [[bwa]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BUSCO]]&lt;br /&gt;
|* [[CAFE]]&lt;br /&gt;
|* [[canu]]&lt;br /&gt;
|* [[cd-hit]]&lt;br /&gt;
|* [[cegma]]&lt;br /&gt;
|* [[clustal]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[cramtools]]&lt;br /&gt;
|* [[deeptools]]&lt;br /&gt;
|* [[detonate]]&lt;br /&gt;
|* [[diamond]]&lt;br /&gt;
|* [[ea-utils]]&lt;br /&gt;
|* [[ensembl]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[ETE]]&lt;br /&gt;
|* [[FASTQC and MultiQC]]&lt;br /&gt;
|* [[Archaeopteryx and Forester]]&lt;br /&gt;
|* [[GapFiller]]&lt;br /&gt;
|* [[GenomeTools]]&lt;br /&gt;
|* [[gubbins]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[JBrowse]]&lt;br /&gt;
|* [[kallisto]]&lt;br /&gt;
|* [[kentUtils]]&lt;br /&gt;
|* [[last]]&lt;br /&gt;
|* [[lastz]]&lt;br /&gt;
|* [[macs2]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[Mash]]&lt;br /&gt;
|* [[mega]]&lt;br /&gt;
|* [[meryl]]&lt;br /&gt;
|* [[MUMmer]]&lt;br /&gt;
|* [[NanoSim]]&lt;br /&gt;
|* [[nseq]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[OrthoFinder]]&lt;br /&gt;
|* [[PASA]]&lt;br /&gt;
|* [[perl]]&lt;br /&gt;
|* [[PGAP]]&lt;br /&gt;
|* [[picard-tools]]&lt;br /&gt;
|* [[poRe]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[poretools]]&lt;br /&gt;
|* [[prokka]]&lt;br /&gt;
|* [[pyrad]]&lt;br /&gt;
|* [[python]]&lt;br /&gt;
|* [[qualimap]]&lt;br /&gt;
|* [[quast]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[qiime2]]&lt;br /&gt;
|* [[R]]&lt;br /&gt;
|* [[RAxML]]&lt;br /&gt;
|* [[Repeatmasker]]&lt;br /&gt;
|* [[Repeatmodeler]]&lt;br /&gt;
|* [[rnammer]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[roary]]&lt;br /&gt;
|* [[RSeQC]]&lt;br /&gt;
|* [[samtools]]&lt;br /&gt;
|* [[Satsuma]]&lt;br /&gt;
|* [[sickle]]&lt;br /&gt;
|* [[SPAdes]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[squid]]&lt;br /&gt;
|* [[sra-tools]]&lt;br /&gt;
|* [[srst2]]&lt;br /&gt;
|* [[SSPACE]]&lt;br /&gt;
|* [[stacks]]&lt;br /&gt;
|* [[Thor]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[Tophat]]&lt;br /&gt;
|* [[trimmomatic]]&lt;br /&gt;
|* [[Trinity]]&lt;br /&gt;
|* [[t-coffee]]&lt;br /&gt;
|* [[Unicycler]]&lt;br /&gt;
|* [[velvet]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[ViennaRNA]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
= Queue Manager Tips =&lt;br /&gt;
A cluster is a shared resource with different users running different types of analyses. Nearly all clusters use a piece of software called a queue manager to fairly share out the resource. The queue manager on marvin is called Grid Engine, and it has several commands available, all beginning with &amp;#039;&amp;#039;&amp;#039;q&amp;#039;&amp;#039;&amp;#039; and with &amp;#039;&amp;#039;&amp;#039;qsub&amp;#039;&amp;#039;&amp;#039; being the most commonly used as it submits a command via a jobscript to be processed. Here are some tips:&lt;br /&gt;
* [[Queue Manager Tips]]&lt;br /&gt;
* [[General Command-line Tips]]&lt;br /&gt;
* [[DRMAA for further Gridengine automation]]&lt;br /&gt;
&lt;br /&gt;
= Data Examples =&lt;br /&gt;
* [[Two Eel Scaffolds]]&lt;br /&gt;
&lt;br /&gt;
= Procedures =&lt;br /&gt;
(short sequence of tasks with a certain short-term goal, often, a simple script)&lt;br /&gt;
* [[Calculating coverage]]&lt;br /&gt;
* [[MinION Coverage sensitivity analysis]]&lt;br /&gt;
&lt;br /&gt;
= Navigating genomic data websites=&lt;br /&gt;
* [[Patric]]&lt;br /&gt;
* [[NCBI]]&lt;br /&gt;
* [[IGSR/1000 Genomes]]&lt;br /&gt;
&lt;br /&gt;
= Explanations=&lt;br /&gt;
* [[ITUcourse]]&lt;br /&gt;
* [[VCF]]&lt;br /&gt;
* [[Maximum Likelihood]]&lt;br /&gt;
* [[SNP Analysis and phylogenetics]]&lt;br /&gt;
* [[Normalization]]&lt;br /&gt;
&lt;br /&gt;
= Pipelines =&lt;br /&gt;
(Workflow with specific end-goals)&lt;br /&gt;
* [[Trinity_Protocol]]&lt;br /&gt;
* [[STAR BEAST]]&lt;br /&gt;
* [[callSNPs.py]]&lt;br /&gt;
* [[pairwiseCallSNPs]]&lt;br /&gt;
* [[mapping.py]]&lt;br /&gt;
* [[Edgen RNAseq]]&lt;br /&gt;
* [[Miseq Prokaryote FASTQ analysis]]&lt;br /&gt;
* [[snpcallphylo]]&lt;br /&gt;
* [[Bottlenose dolphin population genomic analysis]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 12.09.2017]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 07.11.2017]]&lt;br /&gt;
* [[Bisulfite Sequencing]]&lt;br /&gt;
* [[microRNA and Salmo Salar]]&lt;br /&gt;
&lt;br /&gt;
=Protocols=&lt;br /&gt;
(Extensive workflows with different with several possible end goals)&lt;br /&gt;
* [[Synthetic Long reads]]&lt;br /&gt;
* [[MinION (Oxford Nanopore)]]&lt;br /&gt;
* [[MinKNOW folders and log files]]&lt;br /&gt;
* [[Research Data Management]]&lt;br /&gt;
* [[MicroRNAs]]&lt;br /&gt;
&lt;br /&gt;
= Tech Reviews =&lt;br /&gt;
* [[SWATH-MS Data Analysis]]&lt;br /&gt;
&lt;br /&gt;
= Cluster Administration =&lt;br /&gt;
* [[Hardware Issues]]&lt;br /&gt;
* [[marvin and IPMI (remote hardware control]]&lt;br /&gt;
* [[Admin Tips]]&lt;br /&gt;
* [[RedHat]]&lt;br /&gt;
* [[Globus_gridftp]]&lt;br /&gt;
* [[Galaxy Setup]]&lt;br /&gt;
* [[Son of Gridengine]]&lt;br /&gt;
* [[Blas Libraries]]&lt;br /&gt;
* [[CMake]]&lt;br /&gt;
* [[Users and Groups]]&lt;br /&gt;
* [[Installing software on marvin]]&lt;br /&gt;
* [[emailing]]&lt;br /&gt;
* [[biotime machine]]&lt;br /&gt;
* [[SCAN-pc laptop]]&lt;br /&gt;
* [[node1 issues]]&lt;br /&gt;
* [[6TB storage expansion]]&lt;br /&gt;
* [[SAN relocation task]]&lt;br /&gt;
* [[Home directories max-out incident 28.11.2016]]&lt;br /&gt;
* [[Frontend Restart]]&lt;br /&gt;
* [[environment-modules]]&lt;br /&gt;
* [[H: drive on cluster]]&lt;br /&gt;
* [[Incident: Can&amp;#039;t connect to BerkeleyDB]]&lt;br /&gt;
* [[Bioinformatics Wordpress Site]]&lt;br /&gt;
* [[Backups]]&lt;br /&gt;
* [[Python DRMAA]]&lt;br /&gt;
* [[SAN disconnect incident 10.01.2017]]&lt;br /&gt;
* [[Memory repair glitch 16.02.2017]]&lt;br /&gt;
* [[node9 network failure incident 16-20.03.2017]]&lt;br /&gt;
* [[Incorrect rebooting of marvin 19.09.2017]]&lt;br /&gt;
&lt;br /&gt;
= Courses =&lt;br /&gt;
&lt;br /&gt;
==I2U4BGA==&lt;br /&gt;
* [[Original schedule]]&lt;br /&gt;
* [[New schedule]]&lt;br /&gt;
* [[Actual schedule]]&lt;br /&gt;
* [[Course itself]]&lt;br /&gt;
* [[Biolinux Source course]]&lt;br /&gt;
* [[Directory Organization Exercise]]&lt;br /&gt;
* [[Glossary]]&lt;br /&gt;
* [[Key Bindings]]&lt;br /&gt;
* [[one-liners]]&lt;br /&gt;
* [[Cheatsheets]]&lt;br /&gt;
* [[Links]]&lt;br /&gt;
* [[pandoc modified manual]]&lt;br /&gt;
* [[Command Line Exercises]]&lt;br /&gt;
&lt;br /&gt;
= hdi2u =&lt;br /&gt;
&lt;br /&gt;
The half-day linux course held on 20th April. Modified version of I2U4BGA.&lt;br /&gt;
&lt;br /&gt;
* [[hdi2u_intro]]&lt;br /&gt;
* [[hdi2u_commandbased_exercises]]&lt;br /&gt;
* [[hdi2u_dirorg_exercise]]&lt;br /&gt;
* [[hdi2u_rendertotsv_exercise]]&lt;br /&gt;
&lt;br /&gt;
= RNAseq for DGE =&lt;br /&gt;
* [[Theoretical background]]&lt;br /&gt;
* [[Quality Control and Preprocessing]]&lt;br /&gt;
* [[Mapping to Reference]]&lt;br /&gt;
* [[Mapping Quality Exercise]]&lt;br /&gt;
* [[Key Aspects of using R]]&lt;br /&gt;
* [[Estimating Gene Count Exercise]]&lt;br /&gt;
* [[Differential Expression Exercise]]&lt;br /&gt;
* [[Functional Analysis Exercise]]&lt;br /&gt;
&lt;br /&gt;
= Introduction to Unix 2017 =&lt;br /&gt;
* [[Introduction_to_Unix_2017]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Templates==&lt;br /&gt;
* [[edgenl2g]]&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3169</id>
		<title>Biotime machine</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3169"/>
				<updated>2018-02-02T11:51:58Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= R installation =&lt;br /&gt;
&lt;br /&gt;
R-3.4.1 was installed in /usr/local/bin. Rstudio is told to use this version via:&lt;br /&gt;
&lt;br /&gt;
 cat /etc/rstudio/rserver.conf&lt;br /&gt;
 &lt;br /&gt;
 # Server Configuration File&lt;br /&gt;
 rsession-which-r=/usr/local/bin/R&lt;br /&gt;
&lt;br /&gt;
= Administration =&lt;br /&gt;
&lt;br /&gt;
The executable is &amp;#039;&amp;#039;&amp;#039;rstudio-server&amp;#039;&amp;#039;&amp;#039;. Documentation is available but for the professional version, whihc nonetheless may be useful (see the links section).&lt;br /&gt;
&lt;br /&gt;
There is no manpage, but there is this very concise help which nonethless is useful:&lt;br /&gt;
&lt;br /&gt;
 root@biotime:/etc/rstudio# rstudio-server --help&lt;br /&gt;
 $Usage: rstudio-server {status|start|stop|restart|test-config|verify-installation|suspend-session|suspend-all|force-suspend-session|force-suspend-all|kill-session|kill-all|offline|online|active-sessions|version}&lt;br /&gt;
&lt;br /&gt;
For example to kill a certain session, first find out the PID&lt;br /&gt;
&lt;br /&gt;
 rstudio-server active-sessions &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
then try and suspend&lt;br /&gt;
&lt;br /&gt;
 rstudio-server force-suspend-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
However, suspend does not sound quite aggressive enough, so &lt;br /&gt;
&lt;br /&gt;
 rstudio-server kill-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Will probably do a better job.&lt;br /&gt;
&lt;br /&gt;
= Hanging user sessions =&lt;br /&gt;
&lt;br /&gt;
As well as killing the session, getting rid of the following file&lt;br /&gt;
&lt;br /&gt;
 ~/.rstudio/suspended-session/environment &lt;br /&gt;
&lt;br /&gt;
which can often be quite big, will cure the hanging. There is a link to this post in the links section.&lt;br /&gt;
&lt;br /&gt;
= Memory-style errors =&lt;br /&gt;
&lt;br /&gt;
These used to happen quite often with marvin.&lt;br /&gt;
&lt;br /&gt;
 nutria@biotime:/mnt/rdrive/Bioinformatics$&lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766503] [Hardware Error]: Corrected error, no action required.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766566] [Hardware Error]: CPU:24 (15:2:0) MC4_STATUS[-|CE|MiscV|-|AddrV|-|Poison|CECC]: 0x9c664880011c017b&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766664] [Hardware Error]: MC4_ADDR: 0x0000003a066ab700 &lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766712] [Hardware Error]: MC4 Error (node 3): L3 data cache ECC error.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766767] [Hardware Error]: cache level: L3/GEN, tx: GEN, mem-tx: EV&lt;br /&gt;
&lt;br /&gt;
= Links =&lt;br /&gt;
* [http://docs.rstudio.com/ide/server-pro/index.html Admin guide to Rstudio professional version]&lt;br /&gt;
* [https://support.rstudio.com/hc/en-us/community/posts/200638878-resuming-session-hangup hanging resuming session]&lt;br /&gt;
&lt;br /&gt;
= Vital machine details =&lt;br /&gt;
&lt;br /&gt;
* Remote control (DRAC/IPMI) ip: 138.251.13.226 (simply type as URL in browser. Note there may be security warnings from modern browsers: carry on regardless).&lt;br /&gt;
* User: root&lt;br /&gt;
* Password, the same as IPMI for marvin (obviously cannot write that here).&lt;br /&gt;
* Some basic functions are available on DRAC, such as power on and power cycle, but Remote Console is the most interesting.&lt;br /&gt;
* DRAC can also load an live Linux iso from your local computer and boot it instead of the resident OS&lt;br /&gt;
* Remote console is a JNLP program (java) which can be downloaded and run with the latest version of javaws. Or, the browser may launch it automatically&lt;br /&gt;
* Remote console will allow you login using the password.&lt;br /&gt;
* when updating and rebooting this machine has a tendency (albeit a rare one) to hang at BIOS: simply try rebooting.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3168</id>
		<title>Biotime machine</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Biotime_machine&amp;diff=3168"/>
				<updated>2018-02-02T11:50:58Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= R installation =&lt;br /&gt;
&lt;br /&gt;
R-3.4.1 was installed in /usr/local/bin. Rstudio is told to use this version via:&lt;br /&gt;
&lt;br /&gt;
 cat /etc/rstudio/rserver.conf&lt;br /&gt;
 &lt;br /&gt;
 # Server Configuration File&lt;br /&gt;
 rsession-which-r=/usr/local/bin/R&lt;br /&gt;
&lt;br /&gt;
= Administration =&lt;br /&gt;
&lt;br /&gt;
The executable is &amp;#039;&amp;#039;&amp;#039;rstudio-server&amp;#039;&amp;#039;&amp;#039;. Documentation is available but for the professional version, whihc nonetheless may be useful (see the links section).&lt;br /&gt;
&lt;br /&gt;
There is no manpage, but there is this very concise help which nonethless is useful:&lt;br /&gt;
&lt;br /&gt;
 root@biotime:/etc/rstudio# rstudio-server --help&lt;br /&gt;
 $Usage: rstudio-server {status|start|stop|restart|test-config|verify-installation|suspend-session|suspend-all|force-suspend-session|force-suspend-all|kill-session|kill-all|offline|online|active-sessions|version}&lt;br /&gt;
&lt;br /&gt;
For example to kill a certain session, first find out the PID&lt;br /&gt;
&lt;br /&gt;
 rstudio-server active-sessions &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
then try and suspend&lt;br /&gt;
&lt;br /&gt;
 rstudio-server force-suspend-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
However, suspend does not sound quite aggressive enough, so &lt;br /&gt;
&lt;br /&gt;
 rstudio-server kill-session &amp;lt;PID&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Will probably do a better job.&lt;br /&gt;
&lt;br /&gt;
= Hanging user sessions =&lt;br /&gt;
&lt;br /&gt;
As well as killing the session, getting rid of the following file&lt;br /&gt;
&lt;br /&gt;
 ~/.rstudio/suspended-session/environment &lt;br /&gt;
&lt;br /&gt;
which can often be quite big, will cure the hanging. There is a link to this post in the links section.&lt;br /&gt;
&lt;br /&gt;
= Memory-style errors =&lt;br /&gt;
&lt;br /&gt;
These used to happen quite often with marvin.&lt;br /&gt;
&lt;br /&gt;
 nutria@biotime:/mnt/rdrive/Bioinformatics$&lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766503] [Hardware Error]: Corrected error, no action required.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766566] [Hardware Error]: CPU:24 (15:2:0) MC4_STATUS[-|CE|MiscV|-|AddrV|-|Poison|CECC]: 0x9c664880011c017b&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766664] [Hardware Error]: MC4_ADDR: 0x0000003a066ab700 &lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766712] [Hardware Error]: MC4 Error (node 3): L3 data cache ECC error.&lt;br /&gt;
 &lt;br /&gt;
 Message from syslogd@biotime at Apr  3 14:56:59 ...&lt;br /&gt;
  kernel:[5173414.766767] [Hardware Error]: cache level: L3/GEN, tx: GEN, mem-tx: EV&lt;br /&gt;
&lt;br /&gt;
= Links =&lt;br /&gt;
* [http://docs.rstudio.com/ide/server-pro/index.html Porfession Version admin guide]&lt;br /&gt;
* [https://support.rstudio.com/hc/en-us/community/posts/200638878-resuming-session-hangup hanging resuming session]&lt;br /&gt;
&lt;br /&gt;
= Vital machine details =&lt;br /&gt;
&lt;br /&gt;
* Remote control (DRAC/IPMI) ip: 138.251.13.226 (simply type as URL in browser. Note there may be security warnings from modern browsers: carry on regardless).&lt;br /&gt;
* User: root&lt;br /&gt;
* Password, the same as IPMI for marvin (obviously cannot write that here).&lt;br /&gt;
* Some basic functions are available on DRAC, such as power on and power cycle, but Remote Console is the most interesting.&lt;br /&gt;
* DRAC can also load an live Linux iso from your local computer and boot it instead of the resident OS&lt;br /&gt;
* Remote console is a JNLP program (java) which can be downloaded and run with the latest version of javaws. Or, the browser may launch it automatically&lt;br /&gt;
* Remote console will allow you login using the password.&lt;br /&gt;
&lt;br /&gt;
* when updating and rebooting this machine has a tendency (albeit a rare one) to hang at BIOS.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3165</id>
		<title>Qiime2</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3165"/>
				<updated>2018-01-29T18:29:57Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
This is a large, self-contained bioinformatics environment confected to tackle in particular microbiome studies.&lt;br /&gt;
&lt;br /&gt;
Microbiome studies, do in fact pose special challenges, so the effort to cretae such a bioinformatitcs environment is jsutfied, but it does come at a cost&lt;br /&gt;
of a certain unwieldiness in the software environment.&lt;br /&gt;
&lt;br /&gt;
= How to use =&lt;br /&gt;
&lt;br /&gt;
Qiime2 is installed within miniconda3 and this module must be loaded first:&lt;br /&gt;
&lt;br /&gt;
 module load miniconda3&lt;br /&gt;
&lt;br /&gt;
After this the conda environment called &amp;quot;qiime2-2017.12&amp;quot; must be activated, this is done via:&lt;br /&gt;
&lt;br /&gt;
 source activate qiime2-2017.12&lt;br /&gt;
&lt;br /&gt;
What then happens is that &amp;quot;qiime2-2017.12&amp;quot; then appears in the user&amp;#039;s prompt and this verfies that the qiime2 environment has been activated, whether properly or improperly, remains to be seen.&lt;br /&gt;
&lt;br /&gt;
= qiime2&amp;#039;s executable =&lt;br /&gt;
&lt;br /&gt;
Its name is&lt;br /&gt;
&lt;br /&gt;
 qiime&lt;br /&gt;
&lt;br /&gt;
not qiime2. To see the help file, type &lt;br /&gt;
&lt;br /&gt;
 qiime --help&lt;br /&gt;
&lt;br /&gt;
which gives you&lt;br /&gt;
&lt;br /&gt;
 (qiime2-2017.12) [ramon@marvin bladir0]$ qiime --help&lt;br /&gt;
 Usage: qiime [OPTIONS] COMMAND [ARGS]...&lt;br /&gt;
 &lt;br /&gt;
  QIIME 2 command-line interface (q2cli)&lt;br /&gt;
  --------------------------------------&lt;br /&gt;
 &lt;br /&gt;
  To get help with QIIME 2, visit https://qiime2.org.&lt;br /&gt;
 &lt;br /&gt;
  To enable tab completion in Bash, run the following command or add it to&lt;br /&gt;
  your .bashrc/.bash_profile:&lt;br /&gt;
 &lt;br /&gt;
      source tab-qiime&lt;br /&gt;
 &lt;br /&gt;
  To enable tab completion in ZSH, run the following commands or add them to&lt;br /&gt;
  your .zshrc:&lt;br /&gt;
 &lt;br /&gt;
      autoload bashcompinit &amp;amp;&amp;amp; bashcompinit &amp;amp;&amp;amp; source tab-qiime&lt;br /&gt;
 &lt;br /&gt;
 Options:&lt;br /&gt;
  --version  Show the version and exit.&lt;br /&gt;
  --help     Show this message and exit.&lt;br /&gt;
 &lt;br /&gt;
 Commands:&lt;br /&gt;
  info                Display information about current deployment.&lt;br /&gt;
  tools               Tools for working with QIIME 2 files.&lt;br /&gt;
  dev                 Utilities for developers and advanced users.&lt;br /&gt;
  alignment           Plugin for generating and manipulating alignments.&lt;br /&gt;
  composition         Plugin for compositional data analysis.&lt;br /&gt;
  cutadapt            Plugin for removing adapter sequences, primers, and other unwanted sequence from sequence data.&lt;br /&gt;
  dada2               Plugin for sequence quality control with DADA2.&lt;br /&gt;
  deblur              Plugin for sequence quality control with Deblur.&lt;br /&gt;
  demux               Plugin for demultiplexing &amp;amp; viewing sequence quality.&lt;br /&gt;
  diversity           Plugin for exploring community diversity.&lt;br /&gt;
  emperor             Plugin for ordination plotting with Emperor.&lt;br /&gt;
  feature-classifier  Plugin for taxonomic classification.&lt;br /&gt;
  feature-table       Plugin for working with sample by feature tables.&lt;br /&gt;
  gneiss              Plugin for building compositional models.&lt;br /&gt;
  longitudinal        Plugin for paired sample and time series analyses.&lt;br /&gt;
  metadata            Plugin for working with Metadata.&lt;br /&gt;
  phylogeny           Plugin for generating and manipulating phylogenies.&lt;br /&gt;
  quality-control     Plugin for quality control of feature and sequence data.&lt;br /&gt;
  quality-filter      Plugin for PHRED-based filtering and trimming.&lt;br /&gt;
  sample-classifier   Plugin for machine learning prediction of sample metadata.&lt;br /&gt;
  taxa                Plugin for working with feature taxonomy annotations.&lt;br /&gt;
  vsearch             Plugin for clustering and dereplicating with vsearch.&lt;br /&gt;
&lt;br /&gt;
= Exiting qiime2 ==&lt;br /&gt;
&lt;br /&gt;
It helps alot if the user purposefully exists the qiime2 environment with:&lt;br /&gt;
&lt;br /&gt;
 source deactivate qiime2-2017.12&lt;br /&gt;
&lt;br /&gt;
= Cautionary note =&lt;br /&gt;
&lt;br /&gt;
because qiime2 is built inside miniconda3 (also known as conda) it belongs in its very own environment that does not play ball very well with the cluster general software environment. While this doesn&amp;#039;t prevent qiime2 not miniconda (conda) from running correctly, it does cause problems when leaving the qiime2/miniconda environment and landing in the cluster&amp;#039;s environment modules system again.&lt;br /&gt;
&lt;br /&gt;
In fact, there are conflicts which usually amount to the terminal session being unusable for anything else, and so the user must logout and log back in again, if they want to do something different.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3164</id>
		<title>Qiime2</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3164"/>
				<updated>2018-01-29T18:27:56Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
This is a large, self-contained bioinformatics environment confected to tackle in particular microbiome studies.&lt;br /&gt;
&lt;br /&gt;
Microbiome studies, do in fact pose special challenges, so the effort to cretae such a bioinformatitcs environment is jsutfied, but it does come at a cost&lt;br /&gt;
of a certain unwieldiness in the software environment.&lt;br /&gt;
&lt;br /&gt;
= How to use =&lt;br /&gt;
&lt;br /&gt;
Qiime2 is installed within miniconda3 and this module must be loaded first:&lt;br /&gt;
&lt;br /&gt;
 module load miniconda3&lt;br /&gt;
&lt;br /&gt;
After this the conda environment called &amp;quot;qiime2-2017.12&amp;quot; must be activated, this is done via:&lt;br /&gt;
&lt;br /&gt;
 source activate qiime2-2017.12&lt;br /&gt;
&lt;br /&gt;
What then happens is that &amp;quot;qiime2-2017.12&amp;quot; then appears in the user&amp;#039;s prompt and this verfies that the qiime2 environment has been activated, whether properly or improperly, remains to be seen.&lt;br /&gt;
&lt;br /&gt;
= qiime2&amp;#039;s executable =&lt;br /&gt;
&lt;br /&gt;
Its name is&lt;br /&gt;
&lt;br /&gt;
 qiime&lt;br /&gt;
&lt;br /&gt;
not qiime2. To see the help file, type &lt;br /&gt;
&lt;br /&gt;
 qiime --help&lt;br /&gt;
&lt;br /&gt;
which gives you&lt;br /&gt;
&lt;br /&gt;
 (qiime2-2017.12) [ramon@marvin bladir0]$ qiime --help&lt;br /&gt;
 Usage: qiime [OPTIONS] COMMAND [ARGS]...&lt;br /&gt;
 &lt;br /&gt;
  QIIME 2 command-line interface (q2cli)&lt;br /&gt;
  --------------------------------------&lt;br /&gt;
 &lt;br /&gt;
  To get help with QIIME 2, visit https://qiime2.org.&lt;br /&gt;
 &lt;br /&gt;
  To enable tab completion in Bash, run the following command or add it to&lt;br /&gt;
  your .bashrc/.bash_profile:&lt;br /&gt;
 &lt;br /&gt;
      source tab-qiime&lt;br /&gt;
 &lt;br /&gt;
  To enable tab completion in ZSH, run the following commands or add them to&lt;br /&gt;
  your .zshrc:&lt;br /&gt;
 &lt;br /&gt;
      autoload bashcompinit &amp;amp;&amp;amp; bashcompinit &amp;amp;&amp;amp; source tab-qiime&lt;br /&gt;
 &lt;br /&gt;
 Options:&lt;br /&gt;
  --version  Show the version and exit.&lt;br /&gt;
  --help     Show this message and exit.&lt;br /&gt;
 &lt;br /&gt;
 Commands:&lt;br /&gt;
  info                Display information about current deployment.&lt;br /&gt;
  tools               Tools for working with QIIME 2 files.&lt;br /&gt;
  dev                 Utilities for developers and advanced users.&lt;br /&gt;
  alignment           Plugin for generating and manipulating alignments.&lt;br /&gt;
  composition         Plugin for compositional data analysis.&lt;br /&gt;
  cutadapt            Plugin for removing adapter sequences, primers, and other unwanted sequence from sequence data.&lt;br /&gt;
  dada2               Plugin for sequence quality control with DADA2.&lt;br /&gt;
  deblur              Plugin for sequence quality control with Deblur.&lt;br /&gt;
  demux               Plugin for demultiplexing &amp;amp; viewing sequence quality.&lt;br /&gt;
  diversity           Plugin for exploring community diversity.&lt;br /&gt;
  emperor             Plugin for ordination plotting with Emperor.&lt;br /&gt;
  feature-classifier  Plugin for taxonomic classification.&lt;br /&gt;
  feature-table       Plugin for working with sample by feature tables.&lt;br /&gt;
  gneiss              Plugin for building compositional models.&lt;br /&gt;
  longitudinal        Plugin for paired sample and time series analyses.&lt;br /&gt;
  metadata            Plugin for working with Metadata.&lt;br /&gt;
  phylogeny           Plugin for generating and manipulating phylogenies.&lt;br /&gt;
  quality-control     Plugin for quality control of feature and sequence data.&lt;br /&gt;
  quality-filter      Plugin for PHRED-based filtering and trimming.&lt;br /&gt;
  sample-classifier   Plugin for machine learning prediction of sample metadata.&lt;br /&gt;
  taxa                Plugin for working with feature taxonomy annotations.&lt;br /&gt;
  vsearch             Plugin for clustering and dereplicating with vsearch.&lt;br /&gt;
&lt;br /&gt;
= Cautionary note =&lt;br /&gt;
&lt;br /&gt;
because qiime2 is built inside miniconda3 (also known as conda) it belongs in its very own environment that does not play ball very well with the cluster general software environment. While this doesn&amp;#039;t prevent qiime2 not miniconda (conda) from running correctly, it does cause problems when leaving the qiime2/miniconda environment and landing in the cluster&amp;#039;s environment modules system again.&lt;br /&gt;
&lt;br /&gt;
In fact, there are conflicts which usually amount to the terminal session being unusable for anything else, and so the user must logout and log back in again, if they want to do something different.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3163</id>
		<title>Qiime2</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3163"/>
				<updated>2018-01-29T18:24:03Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
This is a large, self-contained bioinformatics environment confected to tackle in particular microbiome studies.&lt;br /&gt;
&lt;br /&gt;
Microbiome studies, do in fact pose special challenges, so the effort to cretae such a bioinformatitcs environment is jsutfied, but it does come at a cost&lt;br /&gt;
of a certain unwieldiness in the software environment.&lt;br /&gt;
&lt;br /&gt;
= How to use =&lt;br /&gt;
&lt;br /&gt;
Qiime2 is installed within miniconda3 and this module must be loaded first:&lt;br /&gt;
&lt;br /&gt;
 module load miniconda3&lt;br /&gt;
&lt;br /&gt;
After this the conda environment called &amp;quot;qiime2-2017.12&amp;quot; must be activated, this is done via:&lt;br /&gt;
&lt;br /&gt;
 source activate qiime2-2017.12&lt;br /&gt;
&lt;br /&gt;
What then happens is that &amp;quot;qiime2-2017.12&amp;quot; then appears in the user&amp;#039;s prompt and this verfies that the qiime2 environment has been activated, whether properly or improperly, remains to be seen.&lt;br /&gt;
&lt;br /&gt;
= Cautionary note =&lt;br /&gt;
&lt;br /&gt;
because qiime2 is built inside miniconda3 (also known as conda) it belongs in its very own environment that does not play ball very well with the cluster general software environment. While this doesn&amp;#039;t prevent qiime2 not miniconda (conda) from running correctly, it does cause problems when leaving the qiime2/miniconda environment and landing in the cluster&amp;#039;s environment modules system again.&lt;br /&gt;
&lt;br /&gt;
In fact, there are conflicts which usually amount to the terminal session being unusable for anything else, and so the user must logout and log back in again, if they want to do something different.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3162</id>
		<title>Qiime2</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3162"/>
				<updated>2018-01-29T18:16:47Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
This is a large, self-contained bioinformatics environment confected to tackle in particular microbiome studies.&lt;br /&gt;
&lt;br /&gt;
Microbiome studies, do in fact pose special challenges, so the effort to cretae such a bioinformatitcs environment is jsutfied, but it does come at a cost&lt;br /&gt;
of a certain unwieldiness in the software environment.&lt;br /&gt;
&lt;br /&gt;
= How to use =&lt;br /&gt;
&lt;br /&gt;
Qiime2 is installed within miniconda3 and this module must be loaded first:&lt;br /&gt;
&lt;br /&gt;
 module load miniconda3&lt;br /&gt;
&lt;br /&gt;
After this the conda environment called &amp;quot;qiime2-2017.12&amp;quot; must be activated, this is done via:&lt;br /&gt;
&lt;br /&gt;
 source activate qiime2-2017.12&lt;br /&gt;
&lt;br /&gt;
What then happens is that &amp;quot;qiime2-2017.12&amp;quot; then appears in the user&amp;#039;s prompt and this verfies that the qiime2 environment has been activated, whether properly or improperly, remains to be seen.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3161</id>
		<title>Qiime2</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Qiime2&amp;diff=3161"/>
				<updated>2018-01-29T18:16:37Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: Created page with &amp;quot;= Introduction =  This is a large, self-contained bioinformatics environment confected to tackle in particular microbiome studies.  Microbiome studies, do in fact pose special...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
This is a large, self-contained bioinformatics environment confected to tackle in particular microbiome studies.&lt;br /&gt;
&lt;br /&gt;
Microbiome studies, do in fact pose special challenges, so the effort to cretae such a bioinformatitcs environment is jsutfied, but it does come at a cost&lt;br /&gt;
of a certain unwieldiness in the software environment.&lt;br /&gt;
&lt;br /&gt;
= How to use =&lt;br /&gt;
&lt;br /&gt;
Qiime2 is installed within miniconda3 and this module must be loaded first:&lt;br /&gt;
&lt;br /&gt;
 module load miniconda3&lt;br /&gt;
&lt;br /&gt;
After this the conda environment called &amp;quot;qiime2-2017.12&amp;quot; must be activated, this is done via:&lt;br /&gt;
&lt;br /&gt;
 source activate qiime2-2017.12&lt;br /&gt;
&lt;br /&gt;
What then happens is that &amp;quot;qiime2-2017.12&amp;quot; then appears in the user&amp;#039;s prompt and this verfies that the qimme2 environment has been activated, whether properly or improperly, remains to be seen.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3160</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3160"/>
				<updated>2018-01-29T18:10:05Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Usage of Cluster=&lt;br /&gt;
* [[Cluster Manual]]&lt;br /&gt;
* [[Why a Queue Manager?]]&lt;br /&gt;
* [[Available Software]]&lt;br /&gt;
&lt;br /&gt;
= Documented Programs =&lt;br /&gt;
&lt;br /&gt;
The following can be seen as extra notes referring to these programs usage on the marvin cluster, with an emphais on example use-cases. Most, if not all, will have their own special websites, with more detailed manuals and further information.&lt;br /&gt;
&lt;br /&gt;
{|style=&amp;quot;width:85%&amp;quot;&lt;br /&gt;
|* [[abacas]]&lt;br /&gt;
|* [[albacore]]&lt;br /&gt;
|* [[ariba]]&lt;br /&gt;
|* [[aspera]]&lt;br /&gt;
|* [[assembly-stats]]&lt;br /&gt;
|* [[augustus]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BamQC]]&lt;br /&gt;
|* [[bamtools]]&lt;br /&gt;
|* [[banjo]]&lt;br /&gt;
|* [[bcftools]]&lt;br /&gt;
|* [[bedtools]]&lt;br /&gt;
|* [[bgenie]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BLAST]]&lt;br /&gt;
|* [[Blat]]&lt;br /&gt;
|* [[blast2go: b2g4pipe]]&lt;br /&gt;
|* [[bowtie]]&lt;br /&gt;
|* [[bowtie2]]&lt;br /&gt;
|* [[bwa]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BUSCO]]&lt;br /&gt;
|* [[CAFE]]&lt;br /&gt;
|* [[canu]]&lt;br /&gt;
|* [[cd-hit]]&lt;br /&gt;
|* [[cegma]]&lt;br /&gt;
|* [[clustal]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[cramtools]]&lt;br /&gt;
|* [[deeptools]]&lt;br /&gt;
|* [[detonate]]&lt;br /&gt;
|* [[diamond]]&lt;br /&gt;
|* [[ea-utils]]&lt;br /&gt;
|* [[ensembl]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[ETE]]&lt;br /&gt;
|* [[FASTQC and MultiQC]]&lt;br /&gt;
|* [[Archaeopteryx and Forester]]&lt;br /&gt;
|* [[GapFiller]]&lt;br /&gt;
|* [[GenomeTools]]&lt;br /&gt;
|* [[gubbins]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[JBrowse]]&lt;br /&gt;
|* [[kallisto]]&lt;br /&gt;
|* [[kentUtils]]&lt;br /&gt;
|* [[last]]&lt;br /&gt;
|* [[lastz]]&lt;br /&gt;
|* [[macs2]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[Mash]]&lt;br /&gt;
|* [[mega]]&lt;br /&gt;
|* [[meryl]]&lt;br /&gt;
|* [[MUMmer]]&lt;br /&gt;
|* [[NanoSim]]&lt;br /&gt;
|* [[nseq]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[OrthoFinder]]&lt;br /&gt;
|* [[PASA]]&lt;br /&gt;
|* [[perl]]&lt;br /&gt;
|* [[PGAP]]&lt;br /&gt;
|* [[picard-tools]]&lt;br /&gt;
|* [[poRe]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[poretools]]&lt;br /&gt;
|* [[prokka]]&lt;br /&gt;
|* [[pyrad]]&lt;br /&gt;
|* [[python]]&lt;br /&gt;
|* [[qualimap]]&lt;br /&gt;
|* [[quast]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[qiime2]]&lt;br /&gt;
|* [[R]]&lt;br /&gt;
|* [[RAxML]]&lt;br /&gt;
|* [[Repeatmasker]]&lt;br /&gt;
|* [[Repeatmodeler]]&lt;br /&gt;
|* [[rnammer]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[roary]]&lt;br /&gt;
|* [[RSeQC]]&lt;br /&gt;
|* [[samtools]]&lt;br /&gt;
|* [[Satsuma]]&lt;br /&gt;
|* [[sickle]]&lt;br /&gt;
|* [[SPAdes]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[squid]]&lt;br /&gt;
|* [[sra-tools]]&lt;br /&gt;
|* [[srst2]]&lt;br /&gt;
|* [[SSPACE]]&lt;br /&gt;
|* [[stacks]]&lt;br /&gt;
|* [[Thor]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[Tophat]]&lt;br /&gt;
|* [[trimmomatic]]&lt;br /&gt;
|* [[Trinity]]&lt;br /&gt;
|* [[t-coffee]]&lt;br /&gt;
|* [[Unicycler]]&lt;br /&gt;
|* [[velvet]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[ViennaRNA]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
= Queue Manager Tips =&lt;br /&gt;
A cluster is a shared resource with different users running different types of analyses. Nearly all clusters use a piece of software called a queue manager to fairly share out the resource. The queue manager on marvin is called Grid Engine, and it has several commands available, all beginning with &amp;#039;&amp;#039;&amp;#039;q&amp;#039;&amp;#039;&amp;#039; and with &amp;#039;&amp;#039;&amp;#039;qsub&amp;#039;&amp;#039;&amp;#039; being the most commonly used as it submits a command via a jobscript to be processed. Here are some tips:&lt;br /&gt;
* [[Queue Manager Tips]]&lt;br /&gt;
* [[General Command-line Tips]]&lt;br /&gt;
* [[DRMAA for further Gridengine automation]]&lt;br /&gt;
&lt;br /&gt;
= Data Examples =&lt;br /&gt;
* [[Two Eel Scaffolds]]&lt;br /&gt;
&lt;br /&gt;
= Procedures =&lt;br /&gt;
(short sequence of tasks with a certain short-term goal, often, a simple script)&lt;br /&gt;
* [[Calculating coverage]]&lt;br /&gt;
* [[MinION Coverage sensitivity analysis]]&lt;br /&gt;
&lt;br /&gt;
= Navigating genomic data websites=&lt;br /&gt;
* [[Patric]]&lt;br /&gt;
* [[NCBI]]&lt;br /&gt;
* [[IGSR/1000 Genomes]]&lt;br /&gt;
&lt;br /&gt;
= Explanations=&lt;br /&gt;
* [[ITUcourse]]&lt;br /&gt;
* [[VCF]]&lt;br /&gt;
* [[Maximum Likelihood]]&lt;br /&gt;
* [[SNP Analysis and phylogenetics]]&lt;br /&gt;
* [[Normalization]]&lt;br /&gt;
&lt;br /&gt;
= Pipelines =&lt;br /&gt;
(Workflow with specific end-goals)&lt;br /&gt;
* [[Trinity_Protocol]]&lt;br /&gt;
* [[STAR BEAST]]&lt;br /&gt;
* [[callSNPs.py]]&lt;br /&gt;
* [[pairwiseCallSNPs]]&lt;br /&gt;
* [[mapping.py]]&lt;br /&gt;
* [[Edgen RNAseq]]&lt;br /&gt;
* [[Miseq Prokaryote FASTQ analysis]]&lt;br /&gt;
* [[snpcallphylo]]&lt;br /&gt;
* [[Bottlenose dolphin population genomic analysis]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 12.09.2017]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 07.11.2017]]&lt;br /&gt;
* [[Bisulfite Sequencing]]&lt;br /&gt;
* [[microRNA and Salmo Salar]]&lt;br /&gt;
&lt;br /&gt;
=Protocols=&lt;br /&gt;
(Extensive workflows with different with several possible end goals)&lt;br /&gt;
* [[Synthetic Long reads]]&lt;br /&gt;
* [[MinION (Oxford Nanopore)]]&lt;br /&gt;
* [[MinKNOW folders and log files]]&lt;br /&gt;
* [[Research Data Management]]&lt;br /&gt;
* [[MicroRNAs]]&lt;br /&gt;
&lt;br /&gt;
= Tech Reviews =&lt;br /&gt;
* [[SWATH-MS Data Analysis]]&lt;br /&gt;
&lt;br /&gt;
= Cluster Administration =&lt;br /&gt;
* [[Hardware Issues]]&lt;br /&gt;
* [[Admin Tips]]&lt;br /&gt;
* [[RedHat]]&lt;br /&gt;
* [[Globus_gridftp]]&lt;br /&gt;
* [[Galaxy Setup]]&lt;br /&gt;
* [[Son of Gridengine]]&lt;br /&gt;
* [[Blas Libraries]]&lt;br /&gt;
* [[CMake]]&lt;br /&gt;
* [[Users and Groups]]&lt;br /&gt;
* [[Installing software on marvin]]&lt;br /&gt;
* [[emailing]]&lt;br /&gt;
* [[biotime machine]]&lt;br /&gt;
* [[SCAN-pc laptop]]&lt;br /&gt;
* [[node1 issues]]&lt;br /&gt;
* [[6TB storage expansion]]&lt;br /&gt;
* [[SAN relocation task]]&lt;br /&gt;
* [[Home directories max-out incident 28.11.2016]]&lt;br /&gt;
* [[Frontend Restart]]&lt;br /&gt;
* [[environment-modules]]&lt;br /&gt;
* [[H: drive on cluster]]&lt;br /&gt;
* [[Incident: Can&amp;#039;t connect to BerkeleyDB]]&lt;br /&gt;
* [[Bioinformatics Wordpress Site]]&lt;br /&gt;
* [[Backups]]&lt;br /&gt;
* [[Python DRMAA]]&lt;br /&gt;
* [[SAN disconnect incident 10.01.2017]]&lt;br /&gt;
* [[Memory repair glitch 16.02.2017]]&lt;br /&gt;
* [[node9 network failure incident 16-20.03.2017]]&lt;br /&gt;
* [[Incorrect rebooting of marvin 19.09.2017]]&lt;br /&gt;
&lt;br /&gt;
= Courses =&lt;br /&gt;
&lt;br /&gt;
==I2U4BGA==&lt;br /&gt;
* [[Original schedule]]&lt;br /&gt;
* [[New schedule]]&lt;br /&gt;
* [[Actual schedule]]&lt;br /&gt;
* [[Course itself]]&lt;br /&gt;
* [[Biolinux Source course]]&lt;br /&gt;
* [[Directory Organization Exercise]]&lt;br /&gt;
* [[Glossary]]&lt;br /&gt;
* [[Key Bindings]]&lt;br /&gt;
* [[one-liners]]&lt;br /&gt;
* [[Cheatsheets]]&lt;br /&gt;
* [[Links]]&lt;br /&gt;
* [[pandoc modified manual]]&lt;br /&gt;
* [[Command Line Exercises]]&lt;br /&gt;
&lt;br /&gt;
= hdi2u =&lt;br /&gt;
&lt;br /&gt;
The half-day linux course held on 20th April. Modified version of I2U4BGA.&lt;br /&gt;
&lt;br /&gt;
* [[hdi2u_intro]]&lt;br /&gt;
* [[hdi2u_commandbased_exercises]]&lt;br /&gt;
* [[hdi2u_dirorg_exercise]]&lt;br /&gt;
* [[hdi2u_rendertotsv_exercise]]&lt;br /&gt;
&lt;br /&gt;
= RNAseq for DGE =&lt;br /&gt;
* [[Theoretical background]]&lt;br /&gt;
* [[Quality Control and Preprocessing]]&lt;br /&gt;
* [[Mapping to Reference]]&lt;br /&gt;
* [[Mapping Quality Exercise]]&lt;br /&gt;
* [[Key Aspects of using R]]&lt;br /&gt;
* [[Estimating Gene Count Exercise]]&lt;br /&gt;
* [[Differential Expression Exercise]]&lt;br /&gt;
* [[Functional Analysis Exercise]]&lt;br /&gt;
&lt;br /&gt;
= Introduction to Unix 2017 =&lt;br /&gt;
* [[Introduction_to_Unix_2017]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Templates==&lt;br /&gt;
* [[edgenl2g]]&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Environment-modules&amp;diff=3159</id>
		<title>Environment-modules</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Environment-modules&amp;diff=3159"/>
				<updated>2018-01-29T18:00:44Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
Environment modules, to give them their full proper name, are quite and old package, but still extremely useful in cluster environments.&lt;br /&gt;
&lt;br /&gt;
= Aspects =&lt;br /&gt;
* the manually compiled version of environment-modules in marvin is found in /usr/local/Modules. It is a little buggy. Principally it cannot unload modules from with a module file. Module unloading must therefore be carried manually.&lt;br /&gt;
* default modules are set in the following file&lt;br /&gt;
 /usr/local/Modules/3.2.10/init/.bashrc&lt;br /&gt;
&lt;br /&gt;
= Notes =&lt;br /&gt;
* Environment modules actually do alot of work when unloading a certain module. All its dependent modules are also unloaded.&lt;br /&gt;
&lt;br /&gt;
= Script running trick =&lt;br /&gt;
&lt;br /&gt;
There is a trick, which is ugly and does not work very well, bu enables a script to be run when a modules in loaded. The required line in the module file is:&lt;br /&gt;
&lt;br /&gt;
 puts stdout &amp;quot;source /usr/local/Modules/modulefiles/tools/cd-hit/gitv0_5acf038/thisis.sh&amp;quot;&lt;br /&gt;
&lt;br /&gt;
While this does indeed run the script, it does also appears to corrupt the environment a little, so that &amp;quot;module list&amp;quot; suddenly throws and error of the following sort:&lt;br /&gt;
&lt;br /&gt;
 Currently Loaded Modulefiles:&lt;br /&gt;
 ModuleCmd_List.c(146):FATAL:996: The environment variables LOADEDMODULES and _LMFILES_ have inconsistent lengths.&lt;br /&gt;
&lt;br /&gt;
The only way to get out of this is to log out of the terminal session (or screen/tmux window)&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Users_and_Groups&amp;diff=3158</id>
		<title>Users and Groups</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Users_and_Groups&amp;diff=3158"/>
				<updated>2018-01-29T14:06:30Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction=&lt;br /&gt;
&lt;br /&gt;
Some, though not all, of the tips here are for setting up users and groups.&lt;br /&gt;
&lt;br /&gt;
The tool of choice is smbldap.&lt;br /&gt;
&lt;br /&gt;
= Usage =&lt;br /&gt;
==Users==&lt;br /&gt;
* To create a new user(s)&lt;br /&gt;
Root has a script in bin/creasu.sh, so as root:&lt;br /&gt;
 sh bin/creasu.sh &amp;lt;user&amp;gt; &amp;lt;user1&amp;gt; &amp;lt;user2&amp;gt;&lt;br /&gt;
will create groups, accounts, home folder and all relevant files into the new home folder. &lt;br /&gt;
Then you need to setup passwords with:&lt;br /&gt;
 smbldap-passwd &amp;lt;user&amp;gt;&lt;br /&gt;
for each of the users.&lt;br /&gt;
&lt;br /&gt;
Then setup an ssh key for logging into the nodes.&lt;br /&gt;
&lt;br /&gt;
Then, as root user, login a user via&lt;br /&gt;
 su - &amp;lt;newuserid&amp;gt;&lt;br /&gt;
&lt;br /&gt;
and execute&lt;br /&gt;
 ssh-keygen&lt;br /&gt;
&lt;br /&gt;
and just accept all the suggestions.&lt;br /&gt;
 .ssh/id_rsa and .ssh/id_rsa.pub, then get created.&lt;br /&gt;
&lt;br /&gt;
then&lt;br /&gt;
 cp .ssh/id_rsa.pub .ssh/authorized_keys&lt;br /&gt;
&lt;br /&gt;
and&lt;br /&gt;
 chmod 600 .ssh/authorized_keys&lt;br /&gt;
&lt;br /&gt;
then ssh node1 should log in to node1 without password (no need to test other nodes).&lt;br /&gt;
&lt;br /&gt;
==Groups==&lt;br /&gt;
* To create a new group&lt;br /&gt;
 smbldap-groupadd -a &amp;lt;newgrpname&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* To add users to a certain group (note that this seems to take some time to propagate, as well as only working on fresh logins)&lt;br /&gt;
 smbldap-groupmod -m &amp;lt;list,of,users&amp;gt; &amp;lt;targetgroup&amp;gt;&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3150</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3150"/>
				<updated>2018-01-26T17:24:56Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
== Tools ==&lt;br /&gt;
&lt;br /&gt;
Specific cells must be extracted from Excel files so that matching of data can occur between them. &lt;br /&gt;
* use Gnumeric&amp;#039;s ssconvert to convert to TSV&lt;br /&gt;
* delete the explanatory rows at the top, so that the first row is the header (titles of the columns)&lt;br /&gt;
* use papath.py python script to match up genes implicated in pathways with the miRNA&amp;#039;s target gene list&lt;br /&gt;
&lt;br /&gt;
== Listings ==&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p (up-regulated)==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 30 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180389 sasa00770 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106572405:  XM_014146541 sasa04514 | &lt;br /&gt;
 LOC100380852:  XM_014204668 sasa00770 | &lt;br /&gt;
 LOC106605368:  XM_014200901 sasa04514 | &lt;br /&gt;
 LOC106605368:  XM_014200902 sasa04514 |  &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 | &lt;br /&gt;
 LOC106578834:  XM_014158031 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158032 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158033 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158034 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158036 sasa00770 | &lt;br /&gt;
 LOC106583705:  XM_014168218 sasa00471 | &lt;br /&gt;
 LOC100380852:  XM_014204667 sasa00770 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04514 |  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106566158:  XM_014134017 sasa00471 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04514 |  XM_014151368 sasa04512 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 | &lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 24 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106597439:  XM_014188636 sasa03050 | &lt;br /&gt;
 LOC106595251:  XM_014186627 sasa03050 | &lt;br /&gt;
 LOC106595599:  XM_014186964 sasa03050 | &lt;br /&gt;
 LOC106595602:  XM_014186967 sasa03050 | &lt;br /&gt;
 LOC106595421:  XM_014186794 sasa03050 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 |  XM_014177695 sasa04510 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106613117:  XM_014215067 sasa03050 | &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 |  XM_014123279 sasa04370 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 |  XM_014123281 sasa04370 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106575086:  XM_014151267 sasa04510 | &lt;br /&gt;
 LOC106591920:  XM_014183188 sasa00100 | &lt;br /&gt;
 LOC106573007:  XM_014147603 sasa00100 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04512 |  XM_014151368 sasa04510 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 |&lt;br /&gt;
&lt;br /&gt;
== 731-3p (up-regulated) ==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1217 genes in target file of which 61 are implicated in pathways.&lt;br /&gt;
&lt;br /&gt;
 LOC106566983:  XM_014135702 sasa04933 | &lt;br /&gt;
 LOC106566983:  XM_014135703 sasa04933 | &lt;br /&gt;
 LOC106601422:  XM_014193629 sasa03015 | &lt;br /&gt;
 LOC106601422:  XM_014193630 sasa03015 | &lt;br /&gt;
 LOC106601423:  XM_014193632 sasa03015 | &lt;br /&gt;
 LOC106601423:  XM_014193633 sasa03015 | &lt;br /&gt;
 LOC106606965:  XM_014203472 sasa03015 | &lt;br /&gt;
 LOC106606965:  XM_014203473 sasa03015 | &lt;br /&gt;
 LOC106579762:  XM_014159927 sasa04933 | &lt;br /&gt;
 LOC106586398:  XM_014173631 sasa04512 | &lt;br /&gt;
 LOC106587420:  XM_014175797 sasa03015 | &lt;br /&gt;
 LOC106587420:  XR_001324442 sasa03015 | &lt;br /&gt;
 LOC106567445:  XM_014136708 sasa03015 | &lt;br /&gt;
 LOC106562230:  XM_014126959 sasa03015 | &lt;br /&gt;
 LOC106603879:  XM_014198090 sasa03015 | &lt;br /&gt;
 LOC106600761:  XM_014192376 sasa04933 | &lt;br /&gt;
 LOC106600761:  XM_014192377 sasa04933 | &lt;br /&gt;
 LOC106590686:  XM_014181846 sasa04933 | &lt;br /&gt;
 LOC106583949:  XM_014168656 sasa04933 | &lt;br /&gt;
 LOC106583949:  XM_014168657 sasa04933 | &lt;br /&gt;
 LOC106600761:  XM_014192378 sasa04933 | &lt;br /&gt;
 LOC106565094:  XM_014131780 sasa04514 | &lt;br /&gt;
 LOC106610502:  XM_014209886 sasa04933 |  XM_014209886 sasa04512 | &lt;br /&gt;
 LOC106565094:  XM_014131781 sasa04514 | &lt;br /&gt;
 LOC106588834:  XM_014178304 sasa04512 | &lt;br /&gt;
 LOC106572737:  XM_014147179 sasa04933 | &lt;br /&gt;
 LOC106585772:  XM_014172370 sasa04933 | &lt;br /&gt;
 LOC106572737:  XM_014147178 sasa04933 | &lt;br /&gt;
 LOC106579022:  XM_014158424 sasa03015 | &lt;br /&gt;
 LOC106562710:  XM_014127697 sasa00140 | &lt;br /&gt;
 LOC106560529:  XM_014123503 sasa04933 | &lt;br /&gt;
 LOC106607214:  XM_014203941 sasa04933 |  XM_014203941 sasa04514 | &lt;br /&gt;
 LOC106570589:  XM_014143042 sasa04514 |  XM_014143042 sasa04512 | &lt;br /&gt;
 LOC106590346:  XM_014181268 sasa04512 | &lt;br /&gt;
 LOC106574080:  XM_014149621 sasa04514 | &lt;br /&gt;
 LOC106565386:  XM_014132445 sasa03015 | &lt;br /&gt;
 LOC100136502:  XM_014163539 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163546 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163555 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163561 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163568 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163576 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163586 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163596 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163603 sasa04514 | &lt;br /&gt;
 LOC106588621:  XM_014177787 sasa04512 | &lt;br /&gt;
 LOC106588621:  XM_014177788 sasa04512 | &lt;br /&gt;
 LOC106571148:  XM_014143883 sasa04512 | &lt;br /&gt;
 LOC106570217:  XM_014142303 sasa04512 | &lt;br /&gt;
 LOC106570217:  XM_014142304 sasa04512 | &lt;br /&gt;
 LOC106609495:  XM_014208370 sasa04512 | &lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180390 sasa00770 | &lt;br /&gt;
 LOC106598235:  XM_014189294 sasa04933 |  XM_014189294 sasa04512 | &lt;br /&gt;
 LOC106598235:  XM_014189295 sasa04933 |  XM_014189295 sasa04512 | &lt;br /&gt;
 LOC106588728:  XM_014178004 sasa04514 |  XM_014178004 sasa04512 | &lt;br /&gt;
 LOC106564737:  XM_014131047 sasa04512 | &lt;br /&gt;
 LOC106588794:  XM_014178221 sasa04514 |  XM_014178221 sasa04512 | &lt;br /&gt;
 LOC106598235:  XM_014189291 sasa04933 |  XM_014189291 sasa04512 | &lt;br /&gt;
 LOC106571148:  XM_014143881 sasa04512 | &lt;br /&gt;
 LOC106571148:  XM_014143882 sasa04512 | &lt;br /&gt;
&lt;br /&gt;
Supplementary files:&lt;br /&gt;
1112 genes in target file of which 72 implicated in pathways&lt;br /&gt;
 LOC106566983:  XM_014135702 sasa04933 |  XM_014135702 sasa04370 | &lt;br /&gt;
 LOC106566983:  XM_014135703 sasa04933 |  XM_014135703 sasa04370 | &lt;br /&gt;
 LOC106601422:  XM_014193629 sasa03015 | &lt;br /&gt;
 LOC106601422:  XM_014193630 sasa03015 | &lt;br /&gt;
 LOC106601423:  XM_014193632 sasa03015 | &lt;br /&gt;
 LOC106601423:  XM_014193633 sasa03015 | &lt;br /&gt;
 LOC106606965:  XM_014203472 sasa03015 | &lt;br /&gt;
 LOC106606965:  XM_014203473 sasa03015 | &lt;br /&gt;
 LOC106579762:  XM_014159927 sasa04933 | &lt;br /&gt;
 LOC106586398:  XM_014173631 sasa04512 |  XM_014173631 sasa04510 | &lt;br /&gt;
 LOC106587420:  XM_014175797 sasa03015 | &lt;br /&gt;
 LOC106567445:  XM_014136708 sasa03015 | &lt;br /&gt;
 LOC106562230:  XM_014126959 sasa03015 | &lt;br /&gt;
 LOC106603879:  XM_014198090 sasa03015 | &lt;br /&gt;
 LOC106608064:  XM_014205744 sasa04510 | &lt;br /&gt;
 LOC106600761:  XM_014192376 sasa04933 | &lt;br /&gt;
 LOC106600761:  XM_014192377 sasa04933 | &lt;br /&gt;
 LOC106590686:  XM_014181846 sasa04933 | &lt;br /&gt;
 LOC106583949:  XM_014168656 sasa04933 | &lt;br /&gt;
 LOC106583949:  XM_014168657 sasa04933 | &lt;br /&gt;
 LOC106563223:  XM_014128592 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128596 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128597 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128599 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128600 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128601 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128590 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128591 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128593 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128594 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128595 sasa04510 | &lt;br /&gt;
 LOC106600761:  XM_014192378 sasa04933 | &lt;br /&gt;
 LOC106610502:  XM_014209886 sasa04512 |  XM_014209886 sasa04933 |  XM_014209886 sasa04510 | &lt;br /&gt;
 LOC106588834:  XM_014178304 sasa04512 |  XM_014178304 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132380 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132285 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132295 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132331 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132348 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132355 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132364 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132371 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132279 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132290 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132304 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132322 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132315 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132339 sasa04510 | &lt;br /&gt;
 LOC106572737:  XM_014147179 sasa04933 |  XM_014147179 sasa04370 | &lt;br /&gt;
 LOC106585772:  XM_014172370 sasa04933 |  XM_014172370 sasa04510 |  XM_014172370 sasa04370 | &lt;br /&gt;
 LOC106572737:  XM_014147178 sasa04933 |  XM_014147178 sasa04370 | &lt;br /&gt;
 LOC106579022:  XM_014158424 sasa03015 | &lt;br /&gt;
 LOC106562710:  XM_014127697 sasa00140 | &lt;br /&gt;
 LOC106560529:  XM_014123503 sasa04933 |  XM_014123503 sasa04510 |  XM_014123503 sasa04370 | &lt;br /&gt;
 LOC106607214:  XM_014203941 sasa04933 | &lt;br /&gt;
 LOC106570589:  XM_014143042 sasa04512 |  XM_014143042 sasa04510 | &lt;br /&gt;
 LOC106590346:  XM_014181268 sasa04512 |  XM_014181268 sasa04510 | &lt;br /&gt;
 LOC106565386:  XM_014132445 sasa03015 | &lt;br /&gt;
 LOC106588621:  XM_014177787 sasa04512 |  XM_014177787 sasa04510 | &lt;br /&gt;
 LOC106588621:  XM_014177788 sasa04512 |  XM_014177788 sasa04510 | &lt;br /&gt;
 LOC106571148:  XM_014143883 sasa04512 |  XM_014143883 sasa04510 | &lt;br /&gt;
 LOC106570217:  XM_014142303 sasa04512 |  XM_014142303 sasa04510 | &lt;br /&gt;
 LOC106570217:  XM_014142304 sasa04512 |  XM_014142304 sasa04510 | &lt;br /&gt;
 LOC106609495:  XM_014208370 sasa04512 | &lt;br /&gt;
 LOC106598235:  XM_014189294 sasa04512 |  XM_014189294 sasa04933 |  XM_014189294 sasa04510 | &lt;br /&gt;
 LOC106598235:  XM_014189295 sasa04512 |  XM_014189295 sasa04933 |  XM_014189295 sasa04510 | &lt;br /&gt;
 LOC106588728:  XM_014178004 sasa04512 |  XM_014178004 sasa04510 | &lt;br /&gt;
 LOC106564737:  XM_014131047 sasa04512 |  XM_014131047 sasa04510 | &lt;br /&gt;
 LOC106588794:  XM_014178221 sasa04512 |  XM_014178221 sasa04510 | &lt;br /&gt;
 LOC106598235:  XM_014189291 sasa04512 |  XM_014189291 sasa04933 |  XM_014189291 sasa04510 | &lt;br /&gt;
 LOC106571148:  XM_014143881 sasa04512 |  XM_014143881 sasa04510 | &lt;br /&gt;
 LOC106571148:  XM_014143882 sasa04512 |  XM_014143882 sasa04510 |&lt;br /&gt;
&lt;br /&gt;
== 8157-3p (down-regulated) ==&lt;br /&gt;
&lt;br /&gt;
Initial files: 1726 targets genes of which 59 implicated in pathways&lt;br /&gt;
&lt;br /&gt;
 LOC106607598:  XM_014204687 sasa04920 | &lt;br /&gt;
 LOC106567551:  XM_014137000 sasa04514 | &lt;br /&gt;
 LOC106567551:  XM_014137001 sasa04514 | &lt;br /&gt;
 LOC106592238:  XM_014183559 sasa04514 | &lt;br /&gt;
 LOC106606039:  XM_014202117 sasa01212 |  XM_014202117 sasa01040 | &lt;br /&gt;
 LOC106595315:  XM_014186692 sasa03320 | &lt;br /&gt;
 LOC106582778:  XM_014166205 sasa04330 | &lt;br /&gt;
 LOC106565877:  XM_014133512 sasa04514 | &lt;br /&gt;
 LOC106565877:  XM_014133511 sasa04514 | &lt;br /&gt;
 LOC106578413:  XM_014157161 sasa00830 | &lt;br /&gt;
 LOC106585050:  XM_014170805 sasa04514 | &lt;br /&gt;
 LOC106594819:  XM_014186204 sasa00140 | &lt;br /&gt;
 LOC106575475:  XM_014152021 sasa04514 | &lt;br /&gt;
 LOC106575475:  XM_014152096 sasa04514 | &lt;br /&gt;
 LOC106575475:  XM_014152178 sasa04514 | &lt;br /&gt;
 LOC106575098:  XM_014151290 sasa04920 | &lt;br /&gt;
 LOC106575098:  XM_014151289 sasa04920 | &lt;br /&gt;
 LOC106575098:  XM_014151288 sasa04920 | &lt;br /&gt;
 LOC106572712:  XM_014147140 sasa04514 | &lt;br /&gt;
 LOC106568909:  XM_014139718 sasa03320 |  XM_014139718 sasa04920 | &lt;br /&gt;
 LOC106572712:  XM_014147137 sasa04514 | &lt;br /&gt;
 LOC106572712:  XM_014147141 sasa04514 | &lt;br /&gt;
 LOC106572712:  XM_014147142 sasa04514 | &lt;br /&gt;
 LOC106572712:  XM_014147138 sasa04514 | &lt;br /&gt;
 LOC106570598:  XM_014143055 sasa03320 | &lt;br /&gt;
 LOC106575098:  XM_014151286 sasa04920 | &lt;br /&gt;
 LOC106575098:  XM_014151287 sasa04920 | &lt;br /&gt;
 LOC106575098:  XM_014151291 sasa04920 | &lt;br /&gt;
 LOC106575098:  XR_001321686 sasa04920 | &lt;br /&gt;
 LOC106575098:  XR_001321687 sasa04920 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106582968:  XM_014166614 sasa04330 | &lt;br /&gt;
 LOC106588402:  XM_014177345 sasa04514 | &lt;br /&gt;
 LOC106582201:  XM_014165040 sasa04514 | &lt;br /&gt;
 LOC106573415:  XM_014148440 sasa01212 |  XM_014148440 sasa03320 |  XM_014148440 sasa00071 |  XM_014148440 sasa04920 | &lt;br /&gt;
 LOC106585423:  XM_014171598 sasa04330 | &lt;br /&gt;
 LOC106585423:  XM_014171599 sasa04330 | &lt;br /&gt;
 LOC106610997:  XR_001330039 sasa04514 | &lt;br /&gt;
 LOC106599103:  XM_014190169 sasa03320 |  XM_014190169 sasa04920 | &lt;br /&gt;
 LOC106599103:  XM_014190174 sasa03320 |  XM_014190174 sasa04920 | &lt;br /&gt;
 LOC106563811:  XM_014129676 sasa04514 | &lt;br /&gt;
 LOC106579180:  XM_014158841 sasa04514 | &lt;br /&gt;
 LOC106585772:  XM_014172380 sasa04920 | &lt;br /&gt;
 LOC106612191:  XM_014213142 sasa04514 | &lt;br /&gt;
 LOC106612191:  XM_014213143 sasa04514 | &lt;br /&gt;
 LOC106579180:  XM_014158840 sasa04514 | &lt;br /&gt;
 LOC106583677:  XM_014168166 sasa03320 | &lt;br /&gt;
 LOC106608688:  XM_014206796 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206787 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206788 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206789 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206791 sasa04514 | &lt;br /&gt;
 LOC106578389:  XM_014157136 sasa04514 | &lt;br /&gt;
 LOC106578389:  XM_014157138 sasa04514 | &lt;br /&gt;
 LOC106578389:  XM_014157139 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206790 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206793 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206792 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206794 sasa04514 |&lt;br /&gt;
&lt;br /&gt;
Supplementary files: 1514 genes targeted of which 64 implicted in pathways&lt;br /&gt;
&lt;br /&gt;
 LOC106591130:  XM_014182320 sasa04060 | &lt;br /&gt;
 LOC106607598:  XM_014204687 sasa04620 |  XM_014204687 sasa04210 | &lt;br /&gt;
 LOC106609052:  XM_014207403 sasa00561 | &lt;br /&gt;
 LOC106577765:  XM_014156092 sasa04210 | &lt;br /&gt;
 LOC106606173:  XM_014202304 sasa04060 | &lt;br /&gt;
 LOC106567551:  XM_014137000 sasa04514 | &lt;br /&gt;
 LOC106567551:  XM_014137001 sasa04514 | &lt;br /&gt;
 LOC106592238:  XM_014183559 sasa04514 | &lt;br /&gt;
 LOC106560270:  XM_014122985 sasa04060 | &lt;br /&gt;
 LOC106560270:  XM_014122986 sasa04060 | &lt;br /&gt;
 LOC106565877:  XM_014133512 sasa04514 | &lt;br /&gt;
 LOC106565877:  XM_014133511 sasa04514 | &lt;br /&gt;
 LOC106608430:  XM_014206364 sasa04620 | &lt;br /&gt;
 LOC106609457:  XM_014208314 sasa04620 | &lt;br /&gt;
 LOC106585050:  XM_014170805 sasa04514 | &lt;br /&gt;
 LOC106608430:  XM_014206365 sasa04620 | &lt;br /&gt;
 LOC106575475:  XM_014152021 sasa04514 | &lt;br /&gt;
 LOC106575475:  XM_014152096 sasa04514 | &lt;br /&gt;
 LOC106575475:  XM_014152178 sasa04514 | &lt;br /&gt;
 LOC106587090:  XM_014175048 sasa04130 | &lt;br /&gt;
 LOC106586511:  XM_014173897 sasa04060 | &lt;br /&gt;
 LOC106572712:  XM_014147140 sasa04514 | &lt;br /&gt;
 LOC106572712:  XM_014147137 sasa04514 | &lt;br /&gt;
 LOC106572712:  XM_014147141 sasa04514 | &lt;br /&gt;
 LOC106572712:  XM_014147142 sasa04514 | &lt;br /&gt;
 LOC106572712:  XM_014147138 sasa04514 | &lt;br /&gt;
 LOC106605164:  XM_014200540 sasa03410 | &lt;br /&gt;
 LOC106566118:  XM_014133969 sasa04620 | &lt;br /&gt;
 LOC106564150:  XM_014130168 sasa00561 | &lt;br /&gt;
 LOC106576243:  XM_014153309 sasa04620 | &lt;br /&gt;
 LOC106584012:  XM_014168766 sasa04620 |  XM_014168766 sasa04210 | &lt;br /&gt;
 LOC106576846:  XM_014154320 sasa04210 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106588402:  XM_014177345 sasa04514 | &lt;br /&gt;
 LOC106582555:  XM_014165756 sasa04060 | &lt;br /&gt;
 LOC106582201:  XM_014165040 sasa04672 |  XM_014165040 sasa04514 | &lt;br /&gt;
 LOC106579606:  XM_014159681 sasa04672 | &lt;br /&gt;
 LOC106563811:  XM_014129676 sasa04514 | &lt;br /&gt;
 LOC106600761:  XM_014192378 sasa04210 | &lt;br /&gt;
 LOC106588840:  XM_014178316 sasa04210 | &lt;br /&gt;
 LOC106579180:  XM_014158841 sasa04514 | &lt;br /&gt;
 LOC106606462:  XM_014202671 sasa04060 | &lt;br /&gt;
 LOC106606462:  XM_014202672 sasa04060 | &lt;br /&gt;
 LOC106585772:  XM_014172380 sasa04620 |  XM_014172380 sasa04210 | &lt;br /&gt;
 LOC106566621:  XM_014134816 sasa04060 | &lt;br /&gt;
 LOC106566621:  XM_014134817 sasa04060 | &lt;br /&gt;
 LOC106566621:  XM_014134818 sasa04060 | &lt;br /&gt;
 LOC106612191:  XM_014213142 sasa04514 | &lt;br /&gt;
 LOC106612191:  XM_014213143 sasa04514 | &lt;br /&gt;
 LOC106579180:  XM_014158840 sasa04514 | &lt;br /&gt;
 LOC106579024:  XM_014158427 sasa04130 | &lt;br /&gt;
 LOC106579593:  XM_014159646 sasa04210 | &lt;br /&gt;
 LOC106608688:  XM_014206796 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206787 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206788 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206789 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206791 sasa04514 | &lt;br /&gt;
 LOC106578389:  XM_014157136 sasa04514 | &lt;br /&gt;
 LOC106578389:  XM_014157138 sasa04514 | &lt;br /&gt;
 LOC106578389:  XM_014157139 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206790 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206793 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206792 sasa04514 | &lt;br /&gt;
 LOC106608688:  XM_014206794 sasa04514 |&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3149</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3149"/>
				<updated>2018-01-26T17:09:28Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
== Tools ==&lt;br /&gt;
&lt;br /&gt;
Specific cells must be extracted from Excel files so that matching of data can occur between them. &lt;br /&gt;
* use Gnumeric&amp;#039;s ssconvert to convert to TSV&lt;br /&gt;
* delete the explanatory rows at the top, so that the first row is the header (titles of the columns)&lt;br /&gt;
* use papath.py python script to match up genes implicated in pathways with the miRNA&amp;#039;s target gene list&lt;br /&gt;
&lt;br /&gt;
== Listings ==&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p (up-regulated)==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 30 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180389 sasa00770 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106572405:  XM_014146541 sasa04514 | &lt;br /&gt;
 LOC100380852:  XM_014204668 sasa00770 | &lt;br /&gt;
 LOC106605368:  XM_014200901 sasa04514 | &lt;br /&gt;
 LOC106605368:  XM_014200902 sasa04514 |  &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 | &lt;br /&gt;
 LOC106578834:  XM_014158031 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158032 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158033 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158034 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158036 sasa00770 | &lt;br /&gt;
 LOC106583705:  XM_014168218 sasa00471 | &lt;br /&gt;
 LOC100380852:  XM_014204667 sasa00770 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04514 |  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106566158:  XM_014134017 sasa00471 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04514 |  XM_014151368 sasa04512 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 | &lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 24 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106597439:  XM_014188636 sasa03050 | &lt;br /&gt;
 LOC106595251:  XM_014186627 sasa03050 | &lt;br /&gt;
 LOC106595599:  XM_014186964 sasa03050 | &lt;br /&gt;
 LOC106595602:  XM_014186967 sasa03050 | &lt;br /&gt;
 LOC106595421:  XM_014186794 sasa03050 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 |  XM_014177695 sasa04510 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106613117:  XM_014215067 sasa03050 | &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 |  XM_014123279 sasa04370 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 |  XM_014123281 sasa04370 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106575086:  XM_014151267 sasa04510 | &lt;br /&gt;
 LOC106591920:  XM_014183188 sasa00100 | &lt;br /&gt;
 LOC106573007:  XM_014147603 sasa00100 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04512 |  XM_014151368 sasa04510 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 |&lt;br /&gt;
&lt;br /&gt;
== 731-3p (up-regulated) ==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1217 genes in target file of which 61 are implicated in pathways.&lt;br /&gt;
&lt;br /&gt;
 LOC106566983:  XM_014135702 sasa04933 | &lt;br /&gt;
 LOC106566983:  XM_014135703 sasa04933 | &lt;br /&gt;
 LOC106601422:  XM_014193629 sasa03015 | &lt;br /&gt;
 LOC106601422:  XM_014193630 sasa03015 | &lt;br /&gt;
 LOC106601423:  XM_014193632 sasa03015 | &lt;br /&gt;
 LOC106601423:  XM_014193633 sasa03015 | &lt;br /&gt;
 LOC106606965:  XM_014203472 sasa03015 | &lt;br /&gt;
 LOC106606965:  XM_014203473 sasa03015 | &lt;br /&gt;
 LOC106579762:  XM_014159927 sasa04933 | &lt;br /&gt;
 LOC106586398:  XM_014173631 sasa04512 | &lt;br /&gt;
 LOC106587420:  XM_014175797 sasa03015 | &lt;br /&gt;
 LOC106587420:  XR_001324442 sasa03015 | &lt;br /&gt;
 LOC106567445:  XM_014136708 sasa03015 | &lt;br /&gt;
 LOC106562230:  XM_014126959 sasa03015 | &lt;br /&gt;
 LOC106603879:  XM_014198090 sasa03015 | &lt;br /&gt;
 LOC106600761:  XM_014192376 sasa04933 | &lt;br /&gt;
 LOC106600761:  XM_014192377 sasa04933 | &lt;br /&gt;
 LOC106590686:  XM_014181846 sasa04933 | &lt;br /&gt;
 LOC106583949:  XM_014168656 sasa04933 | &lt;br /&gt;
 LOC106583949:  XM_014168657 sasa04933 | &lt;br /&gt;
 LOC106600761:  XM_014192378 sasa04933 | &lt;br /&gt;
 LOC106565094:  XM_014131780 sasa04514 | &lt;br /&gt;
 LOC106610502:  XM_014209886 sasa04933 |  XM_014209886 sasa04512 | &lt;br /&gt;
 LOC106565094:  XM_014131781 sasa04514 | &lt;br /&gt;
 LOC106588834:  XM_014178304 sasa04512 | &lt;br /&gt;
 LOC106572737:  XM_014147179 sasa04933 | &lt;br /&gt;
 LOC106585772:  XM_014172370 sasa04933 | &lt;br /&gt;
 LOC106572737:  XM_014147178 sasa04933 | &lt;br /&gt;
 LOC106579022:  XM_014158424 sasa03015 | &lt;br /&gt;
 LOC106562710:  XM_014127697 sasa00140 | &lt;br /&gt;
 LOC106560529:  XM_014123503 sasa04933 | &lt;br /&gt;
 LOC106607214:  XM_014203941 sasa04933 |  XM_014203941 sasa04514 | &lt;br /&gt;
 LOC106570589:  XM_014143042 sasa04514 |  XM_014143042 sasa04512 | &lt;br /&gt;
 LOC106590346:  XM_014181268 sasa04512 | &lt;br /&gt;
 LOC106574080:  XM_014149621 sasa04514 | &lt;br /&gt;
 LOC106565386:  XM_014132445 sasa03015 | &lt;br /&gt;
 LOC100136502:  XM_014163539 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163546 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163555 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163561 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163568 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163576 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163586 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163596 sasa04514 | &lt;br /&gt;
 LOC100136502:  XM_014163603 sasa04514 | &lt;br /&gt;
 LOC106588621:  XM_014177787 sasa04512 | &lt;br /&gt;
 LOC106588621:  XM_014177788 sasa04512 | &lt;br /&gt;
 LOC106571148:  XM_014143883 sasa04512 | &lt;br /&gt;
 LOC106570217:  XM_014142303 sasa04512 | &lt;br /&gt;
 LOC106570217:  XM_014142304 sasa04512 | &lt;br /&gt;
 LOC106609495:  XM_014208370 sasa04512 | &lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180390 sasa00770 | &lt;br /&gt;
 LOC106598235:  XM_014189294 sasa04933 |  XM_014189294 sasa04512 | &lt;br /&gt;
 LOC106598235:  XM_014189295 sasa04933 |  XM_014189295 sasa04512 | &lt;br /&gt;
 LOC106588728:  XM_014178004 sasa04514 |  XM_014178004 sasa04512 | &lt;br /&gt;
 LOC106564737:  XM_014131047 sasa04512 | &lt;br /&gt;
 LOC106588794:  XM_014178221 sasa04514 |  XM_014178221 sasa04512 | &lt;br /&gt;
 LOC106598235:  XM_014189291 sasa04933 |  XM_014189291 sasa04512 | &lt;br /&gt;
 LOC106571148:  XM_014143881 sasa04512 | &lt;br /&gt;
 LOC106571148:  XM_014143882 sasa04512 | &lt;br /&gt;
&lt;br /&gt;
Supplementary files:&lt;br /&gt;
1112 genes in target file of which 72 implicated in pathways&lt;br /&gt;
 LOC106566983:  XM_014135702 sasa04933 |  XM_014135702 sasa04370 | &lt;br /&gt;
 LOC106566983:  XM_014135703 sasa04933 |  XM_014135703 sasa04370 | &lt;br /&gt;
 LOC106601422:  XM_014193629 sasa03015 | &lt;br /&gt;
 LOC106601422:  XM_014193630 sasa03015 | &lt;br /&gt;
 LOC106601423:  XM_014193632 sasa03015 | &lt;br /&gt;
 LOC106601423:  XM_014193633 sasa03015 | &lt;br /&gt;
 LOC106606965:  XM_014203472 sasa03015 | &lt;br /&gt;
 LOC106606965:  XM_014203473 sasa03015 | &lt;br /&gt;
 LOC106579762:  XM_014159927 sasa04933 | &lt;br /&gt;
 LOC106586398:  XM_014173631 sasa04512 |  XM_014173631 sasa04510 | &lt;br /&gt;
 LOC106587420:  XM_014175797 sasa03015 | &lt;br /&gt;
 LOC106567445:  XM_014136708 sasa03015 | &lt;br /&gt;
 LOC106562230:  XM_014126959 sasa03015 | &lt;br /&gt;
 LOC106603879:  XM_014198090 sasa03015 | &lt;br /&gt;
 LOC106608064:  XM_014205744 sasa04510 | &lt;br /&gt;
 LOC106600761:  XM_014192376 sasa04933 | &lt;br /&gt;
 LOC106600761:  XM_014192377 sasa04933 | &lt;br /&gt;
 LOC106590686:  XM_014181846 sasa04933 | &lt;br /&gt;
 LOC106583949:  XM_014168656 sasa04933 | &lt;br /&gt;
 LOC106583949:  XM_014168657 sasa04933 | &lt;br /&gt;
 LOC106563223:  XM_014128592 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128596 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128597 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128599 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128600 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128601 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128590 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128591 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128593 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128594 sasa04510 | &lt;br /&gt;
 LOC106563223:  XM_014128595 sasa04510 | &lt;br /&gt;
 LOC106600761:  XM_014192378 sasa04933 | &lt;br /&gt;
 LOC106610502:  XM_014209886 sasa04512 |  XM_014209886 sasa04933 |  XM_014209886 sasa04510 | &lt;br /&gt;
 LOC106588834:  XM_014178304 sasa04512 |  XM_014178304 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132380 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132285 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132295 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132331 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132348 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132355 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132364 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132371 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132279 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132290 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132304 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132322 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132315 sasa04510 | &lt;br /&gt;
 LOC106565324:  XM_014132339 sasa04510 | &lt;br /&gt;
 LOC106572737:  XM_014147179 sasa04933 |  XM_014147179 sasa04370 | &lt;br /&gt;
 LOC106585772:  XM_014172370 sasa04933 |  XM_014172370 sasa04510 |  XM_014172370 sasa04370 | &lt;br /&gt;
 LOC106572737:  XM_014147178 sasa04933 |  XM_014147178 sasa04370 | &lt;br /&gt;
 LOC106579022:  XM_014158424 sasa03015 | &lt;br /&gt;
 LOC106562710:  XM_014127697 sasa00140 | &lt;br /&gt;
 LOC106560529:  XM_014123503 sasa04933 |  XM_014123503 sasa04510 |  XM_014123503 sasa04370 | &lt;br /&gt;
 LOC106607214:  XM_014203941 sasa04933 | &lt;br /&gt;
 LOC106570589:  XM_014143042 sasa04512 |  XM_014143042 sasa04510 | &lt;br /&gt;
 LOC106590346:  XM_014181268 sasa04512 |  XM_014181268 sasa04510 | &lt;br /&gt;
 LOC106565386:  XM_014132445 sasa03015 | &lt;br /&gt;
 LOC106588621:  XM_014177787 sasa04512 |  XM_014177787 sasa04510 | &lt;br /&gt;
 LOC106588621:  XM_014177788 sasa04512 |  XM_014177788 sasa04510 | &lt;br /&gt;
 LOC106571148:  XM_014143883 sasa04512 |  XM_014143883 sasa04510 | &lt;br /&gt;
 LOC106570217:  XM_014142303 sasa04512 |  XM_014142303 sasa04510 | &lt;br /&gt;
 LOC106570217:  XM_014142304 sasa04512 |  XM_014142304 sasa04510 | &lt;br /&gt;
 LOC106609495:  XM_014208370 sasa04512 | &lt;br /&gt;
 LOC106598235:  XM_014189294 sasa04512 |  XM_014189294 sasa04933 |  XM_014189294 sasa04510 | &lt;br /&gt;
 LOC106598235:  XM_014189295 sasa04512 |  XM_014189295 sasa04933 |  XM_014189295 sasa04510 | &lt;br /&gt;
 LOC106588728:  XM_014178004 sasa04512 |  XM_014178004 sasa04510 | &lt;br /&gt;
 LOC106564737:  XM_014131047 sasa04512 |  XM_014131047 sasa04510 | &lt;br /&gt;
 LOC106588794:  XM_014178221 sasa04512 |  XM_014178221 sasa04510 | &lt;br /&gt;
 LOC106598235:  XM_014189291 sasa04512 |  XM_014189291 sasa04933 |  XM_014189291 sasa04510 | &lt;br /&gt;
 LOC106571148:  XM_014143881 sasa04512 |  XM_014143881 sasa04510 | &lt;br /&gt;
 LOC106571148:  XM_014143882 sasa04512 |  XM_014143882 sasa04510 |&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3148</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3148"/>
				<updated>2018-01-26T17:02:42Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
== Tools ==&lt;br /&gt;
&lt;br /&gt;
Specific cells must be extracted from Excel files so that matching of data can occur between them. &lt;br /&gt;
* use Gnumeric&amp;#039;s ssconvert to convert to TSV&lt;br /&gt;
* delete the explanatory rows at the top, so that the first row is the header (titles of the columns)&lt;br /&gt;
* use papath.py python script to match up genes implicated in pathways with the miRNA&amp;#039;s target gene list&lt;br /&gt;
&lt;br /&gt;
== Listings ==&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p (up-regulated)==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 30 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180389 sasa00770 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106572405:  XM_014146541 sasa04514 | &lt;br /&gt;
 LOC100380852:  XM_014204668 sasa00770 | &lt;br /&gt;
 LOC106605368:  XM_014200901 sasa04514 | &lt;br /&gt;
 LOC106605368:  XM_014200902 sasa04514 |  &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 | &lt;br /&gt;
 LOC106578834:  XM_014158031 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158032 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158033 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158034 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158036 sasa00770 | &lt;br /&gt;
 LOC106583705:  XM_014168218 sasa00471 | &lt;br /&gt;
 LOC100380852:  XM_014204667 sasa00770 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04514 |  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106566158:  XM_014134017 sasa00471 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04514 |  XM_014151368 sasa04512 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 | &lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 24 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106597439:  XM_014188636 sasa03050 | &lt;br /&gt;
 LOC106595251:  XM_014186627 sasa03050 | &lt;br /&gt;
 LOC106595599:  XM_014186964 sasa03050 | &lt;br /&gt;
 LOC106595602:  XM_014186967 sasa03050 | &lt;br /&gt;
 LOC106595421:  XM_014186794 sasa03050 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 |  XM_014177695 sasa04510 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106613117:  XM_014215067 sasa03050 | &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 |  XM_014123279 sasa04370 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 |  XM_014123281 sasa04370 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106575086:  XM_014151267 sasa04510 | &lt;br /&gt;
 LOC106591920:  XM_014183188 sasa00100 | &lt;br /&gt;
 LOC106573007:  XM_014147603 sasa00100 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04512 |  XM_014151368 sasa04510 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 |&lt;br /&gt;
&lt;br /&gt;
== 731-3p (up-regulated) ==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3147</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3147"/>
				<updated>2018-01-26T17:02:13Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
== Tools ==&lt;br /&gt;
&lt;br /&gt;
Specific cells must be extracted from Excel files so that matching of data can occur between them. &lt;br /&gt;
* use Gumeric&amp;#039;s ssconcvert to convert to TSV&lt;br /&gt;
* delete the explanatory rows at the top, so that the first row is the header (titles of the columns)&lt;br /&gt;
* use papath.py python script to match up genes implicated in pathways with the miRNA&amp;#039;s target gene list&lt;br /&gt;
&lt;br /&gt;
== Listings ==&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p (up-regulated)==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 30 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180389 sasa00770 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106572405:  XM_014146541 sasa04514 | &lt;br /&gt;
 LOC100380852:  XM_014204668 sasa00770 | &lt;br /&gt;
 LOC106605368:  XM_014200901 sasa04514 | &lt;br /&gt;
 LOC106605368:  XM_014200902 sasa04514 |  &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 | &lt;br /&gt;
 LOC106578834:  XM_014158031 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158032 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158033 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158034 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158036 sasa00770 | &lt;br /&gt;
 LOC106583705:  XM_014168218 sasa00471 | &lt;br /&gt;
 LOC100380852:  XM_014204667 sasa00770 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04514 |  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106566158:  XM_014134017 sasa00471 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04514 |  XM_014151368 sasa04512 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 | &lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 24 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106597439:  XM_014188636 sasa03050 | &lt;br /&gt;
 LOC106595251:  XM_014186627 sasa03050 | &lt;br /&gt;
 LOC106595599:  XM_014186964 sasa03050 | &lt;br /&gt;
 LOC106595602:  XM_014186967 sasa03050 | &lt;br /&gt;
 LOC106595421:  XM_014186794 sasa03050 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 |  XM_014177695 sasa04510 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106613117:  XM_014215067 sasa03050 | &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 |  XM_014123279 sasa04370 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 |  XM_014123281 sasa04370 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106575086:  XM_014151267 sasa04510 | &lt;br /&gt;
 LOC106591920:  XM_014183188 sasa00100 | &lt;br /&gt;
 LOC106573007:  XM_014147603 sasa00100 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04512 |  XM_014151368 sasa04510 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 |&lt;br /&gt;
&lt;br /&gt;
== 731-3p (up-regulated) ==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3146</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3146"/>
				<updated>2018-01-26T16:47:32Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p (up-regulated)==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 30 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180389 sasa00770 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106572405:  XM_014146541 sasa04514 | &lt;br /&gt;
 LOC100380852:  XM_014204668 sasa00770 | &lt;br /&gt;
 LOC106605368:  XM_014200901 sasa04514 | &lt;br /&gt;
 LOC106605368:  XM_014200902 sasa04514 |  &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 | &lt;br /&gt;
 LOC106578834:  XM_014158031 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158032 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158033 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158034 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158036 sasa00770 | &lt;br /&gt;
 LOC106583705:  XM_014168218 sasa00471 | &lt;br /&gt;
 LOC100380852:  XM_014204667 sasa00770 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04514 |  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106566158:  XM_014134017 sasa00471 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04514 |  XM_014151368 sasa04512 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 | &lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 24 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106597439:  XM_014188636 sasa03050 | &lt;br /&gt;
 LOC106595251:  XM_014186627 sasa03050 | &lt;br /&gt;
 LOC106595599:  XM_014186964 sasa03050 | &lt;br /&gt;
 LOC106595602:  XM_014186967 sasa03050 | &lt;br /&gt;
 LOC106595421:  XM_014186794 sasa03050 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 |  XM_014177695 sasa04510 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106613117:  XM_014215067 sasa03050 | &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 |  XM_014123279 sasa04370 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 |  XM_014123281 sasa04370 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106575086:  XM_014151267 sasa04510 | &lt;br /&gt;
 LOC106591920:  XM_014183188 sasa00100 | &lt;br /&gt;
 LOC106573007:  XM_014147603 sasa00100 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04512 |  XM_014151368 sasa04510 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 |&lt;br /&gt;
&lt;br /&gt;
== 731-3p (up-regulated) ==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3145</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3145"/>
				<updated>2018-01-26T16:44:42Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p (up-regulated)==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 30 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180389 sasa00770 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106572405:  XM_014146541 sasa04514 | &lt;br /&gt;
 LOC100380852:  XM_014204668 sasa00770 | &lt;br /&gt;
 LOC106605368:  XM_014200901 sasa04514 | &lt;br /&gt;
 LOC106605368:  XM_014200902 sasa04514 |  &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 | &lt;br /&gt;
 LOC106578834:  XM_014158031 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158032 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158033 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158034 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158036 sasa00770 | &lt;br /&gt;
 LOC106583705:  XM_014168218 sasa00471 | &lt;br /&gt;
 LOC100380852:  XM_014204667 sasa00770 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04514 |  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106566158:  XM_014134017 sasa00471 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04514 |  XM_014151368 sasa04512 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 | &lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 24 are implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106597439:  XM_014188636 sasa03050 | &lt;br /&gt;
 LOC106595251:  XM_014186627 sasa03050 | &lt;br /&gt;
 LOC106595599:  XM_014186964 sasa03050 | &lt;br /&gt;
 LOC106595602:  XM_014186967 sasa03050 | &lt;br /&gt;
 LOC106595421:  XM_014186794 sasa03050 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 |  XM_014177695 sasa04510 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106613117:  XM_014215067 sasa03050 | &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 |  XM_014123279 sasa04370 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 |  XM_014123281 sasa04370 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106575086:  XM_014151267 sasa04510 | &lt;br /&gt;
 LOC106591920:  XM_014183188 sasa00100 | &lt;br /&gt;
 LOC106573007:  XM_014147603 sasa00100 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04512 |  XM_014151368 sasa04510 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 |&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3144</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3144"/>
				<updated>2018-01-26T16:43:42Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p (up-regulated)==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 30 implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180389 sasa00770 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106572405:  XM_014146541 sasa04514 | &lt;br /&gt;
 LOC100380852:  XM_014204668 sasa00770 | &lt;br /&gt;
 LOC106605368:  XM_014200901 sasa04514 | &lt;br /&gt;
 LOC106605368:  XM_014200902 sasa04514 |  &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 | &lt;br /&gt;
 LOC106578834:  XM_014158031 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158032 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158033 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158034 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158036 sasa00770 | &lt;br /&gt;
 LOC106583705:  XM_014168218 sasa00471 | &lt;br /&gt;
 LOC100380852:  XM_014204667 sasa00770 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04514 |  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106566158:  XM_014134017 sasa00471 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04514 |  XM_014151368 sasa04512 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 | &lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 24 implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106597439:  XM_014188636 sasa03050 | &lt;br /&gt;
 LOC106595251:  XM_014186627 sasa03050 | &lt;br /&gt;
 LOC106595599:  XM_014186964 sasa03050 | &lt;br /&gt;
 LOC106595602:  XM_014186967 sasa03050 | &lt;br /&gt;
 LOC106595421:  XM_014186794 sasa03050 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 |  XM_014177695 sasa04510 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106613117:  XM_014215067 sasa03050 | &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 |  XM_014123279 sasa04370 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 |  XM_014123281 sasa04370 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106575086:  XM_014151267 sasa04510 | &lt;br /&gt;
 LOC106591920:  XM_014183188 sasa00100 | &lt;br /&gt;
 LOC106573007:  XM_014147603 sasa00100 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04512 |  XM_014151368 sasa04510 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 |&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3143</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3143"/>
				<updated>2018-01-26T16:30:02Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p (up-regulated)==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 30 implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106589938:  XM_014180388 sasa00770 | &lt;br /&gt;
 LOC106589938:  XM_014180389 sasa00770 | &lt;br /&gt;
 LOC106588562:  XM_014177695 sasa04512 | &lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 | &lt;br /&gt;
 LOC106581797:  XM_014164110 sasa00140 | &lt;br /&gt;
 LOC106567193:  XM_014136206 sasa03015 | &lt;br /&gt;
 LOC106607326:  XM_014204186 sasa04672 | &lt;br /&gt;
 LOC106570581:  XM_014143031 sasa04933 |  XM_014143031 sasa04672 | &lt;br /&gt;
 LOC106561972:  XM_014126469 sasa04933 | &lt;br /&gt;
 LOC106561972:  XM_014126470 sasa04933 | &lt;br /&gt;
 LOC106578082:  XM_014156667 sasa03015 | &lt;br /&gt;
 LOC106572405:  XM_014146541 sasa04514 | &lt;br /&gt;
 LOC100380852:  XM_014204668 sasa00770 | &lt;br /&gt;
 LOC106605368:  XM_014200901 sasa04514 | &lt;br /&gt;
 LOC106605368:  XM_014200902 sasa04514 |  &lt;br /&gt;
 LOC106560399:  XM_014123279 sasa04933 | &lt;br /&gt;
 LOC106560399:  XM_014123281 sasa04933 | &lt;br /&gt;
 LOC106578834:  XM_014158031 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158032 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158033 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158034 sasa00770 | &lt;br /&gt;
 LOC106578834:  XM_014158036 sasa00770 | &lt;br /&gt;
 LOC106583705:  XM_014168218 sasa00471 | &lt;br /&gt;
 LOC100380852:  XM_014204667 sasa00770 | &lt;br /&gt;
 LOC106567123:  XM_014136048 sasa04514 |  XM_014136048 sasa04672 | &lt;br /&gt;
 LOC106566158:  XM_014134017 sasa00471 | &lt;br /&gt;
 LOC106583214:  XM_014167130 sasa04933 | &lt;br /&gt;
 LOC106565545:  XM_014132799 sasa04933 | &lt;br /&gt;
 LOC106575134:  XM_014151368 sasa04514 |  XM_014151368 sasa04512 |  XM_014151368 sasa04672 | &lt;br /&gt;
 LOC106608947:  XM_014207192 sasa04933 | &lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 5 implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 &lt;br /&gt;
 LOC106596153:  XM_014187472 sasa04210 &lt;br /&gt;
 LOC106574656:  XM_014150653 sasa04060 &lt;br /&gt;
 LOC106582588:  XM_014165814 sasa04210 &lt;br /&gt;
 LOC106575727:  XM_014152386 sasa04060&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3142</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3142"/>
				<updated>2018-01-26T16:17:54Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p ==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 3 implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
LOC106563775:  XM_014129626 sasa04514 &lt;br /&gt;
LOC106583677:  XM_014168168 sasa03320 &lt;br /&gt;
LOC106583677:  XM_014168167 sasa03320&lt;br /&gt;
(LOC106583677 makes an appearance twice but as can be seen, it has a different once under alternative name XM_014168167 and XM_014168168)&lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 5 implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106563775:  XM_014129626 sasa04514 &lt;br /&gt;
 LOC106596153:  XM_014187472 sasa04210 &lt;br /&gt;
 LOC106574656:  XM_014150653 sasa04060 &lt;br /&gt;
 LOC106582588:  XM_014165814 sasa04210 &lt;br /&gt;
 LOC106575727:  XM_014152386 sasa04060&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3141</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3141"/>
				<updated>2018-01-26T15:44:26Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p ==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 3 implicated in pathways:&lt;br /&gt;
 LOC106563775:  sasa04514 &lt;br /&gt;
 LOC106583677:  sasa03320 &lt;br /&gt;
 LOC106583677:  sasa03320&lt;br /&gt;
(LOC106583677 makes an appearance twice but once under alternative name XM_014168167 and XM_014168168)&lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1065 genes in target file, of which 5 implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106563775:  sasa04514&lt;br /&gt;
 LOC106596153:  sasa04210 &lt;br /&gt;
 LOC106574656:  sasa04060 &lt;br /&gt;
 LOC106582588:  sasa04210 &lt;br /&gt;
 LOC106575727:  sasa04060&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3140</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3140"/>
				<updated>2018-01-26T15:26:54Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p ==&lt;br /&gt;
&lt;br /&gt;
Initial files:&lt;br /&gt;
1252 genes in target file, of which 3 implicated in pathways:&lt;br /&gt;
 LOC106563775:  sasa04514 &lt;br /&gt;
 LOC106583677:  sasa03320 &lt;br /&gt;
 LOC106583677:  sasa03320&lt;br /&gt;
(LOC106583677 makes an appearance twice but once under alternative name XM_014168167 and XM_014168168)&lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1252 genes in target file, of which 5 implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106563775:  sasa04514 &lt;br /&gt;
 LOC106596153:  sasa04210 &lt;br /&gt;
 LOC106574656:  sasa04060 &lt;br /&gt;
 LOC106582588:  sasa04210 &lt;br /&gt;
 LOC106575727:  sasa04060&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3139</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3139"/>
				<updated>2018-01-26T15:24:06Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;br /&gt;
&lt;br /&gt;
== 222b-5p ==&lt;br /&gt;
&lt;br /&gt;
Supplemental Files:&lt;br /&gt;
1252 genes in target file, of which 5 implicated in pathways:&lt;br /&gt;
&lt;br /&gt;
 LOC106563775:  sasa04514 &lt;br /&gt;
 LOC106596153:  sasa04210 &lt;br /&gt;
 LOC106574656:  sasa04060 &lt;br /&gt;
 LOC106582588:  sasa04210 &lt;br /&gt;
 LOC106575727:  sasa04060&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3138</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3138"/>
				<updated>2018-01-26T14:53:17Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;br /&gt;
&lt;br /&gt;
= miRNA targeted genes implicated in pathways =&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3137</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3137"/>
				<updated>2018-01-26T14:25:44Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3136</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3136"/>
				<updated>2018-01-26T14:24:37Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
== In summary ==&lt;br /&gt;
&lt;br /&gt;
miRNAs of interest are as follows:&lt;br /&gt;
&lt;br /&gt;
nitial target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-132-5p&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-30e-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-let-7c-3p&lt;br /&gt;
 ssa-let-7d-3p&lt;br /&gt;
 ssa-miR-146a-3p&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 Down-regulated:&lt;br /&gt;
 ssa-miR-23b-5p&lt;br /&gt;
 ssa-miR-8157-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03020525.1_11615&lt;br /&gt;
 ssa-miR-novel-AGKD03067625.1_26128&lt;br /&gt;
 ssa-miR-novel-AGKD03074379.1_27027&lt;br /&gt;
 ssa-miR-novel-AGKD03101962.1_28818&lt;br /&gt;
 Up-regulated:&lt;br /&gt;
 ssa-miR-222b-5p&lt;br /&gt;
 ssa-miR-731-3p&lt;br /&gt;
 ssa-miR-novel-AGKD03022511.1_12826&lt;br /&gt;
 ssa-miR-novel-AGKD03052739.1_23807&lt;br /&gt;
 ssa-miR-novel-AGKD03052741.1_23813&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3135</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3135"/>
				<updated>2018-01-26T14:13:33Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;br /&gt;
&lt;br /&gt;
= Excel files in results =&lt;br /&gt;
&lt;br /&gt;
We can use this listing to see miRNAs and files of interest&lt;br /&gt;
&lt;br /&gt;
mirRNA Expression Profiling&lt;br /&gt;
 ./miRNA_Expression_Profiling/All_Comparisons_of_Expressed_miRNAs.xls&lt;br /&gt;
 ./miRNA_Expression_Profiling/miRNA_Expression_Analysis.xls&lt;br /&gt;
&lt;br /&gt;
Novel miRNAs&lt;br /&gt;
 ./Novel_miRNAs/novel_miRNAs_predicted_by_miRDeep2.xls&lt;br /&gt;
&lt;br /&gt;
Differentially expressed miRNAs&lt;br /&gt;
 ./Differentially_Expressed_miRNAs/Differentially_Expressed_miRNAs.xls&lt;br /&gt;
&lt;br /&gt;
Initial target prediction&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-132-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-30e-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7c-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-let-7d-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-146a-3p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Initial pathway Analysis&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Pathway_Analysis_Results__miRNA_Targets_/Smolt_vs_Parr_up.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental target prediction&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-23b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-8157-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03020525.1_11615/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03067625.1_26128/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03074379.1_27027/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_down.mature_mirna/ssa-miR-novel-AGKD03101962.1_28818/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-222b-5p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-731-3p/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03022511.1_12826/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052739.1_23807/Target Sites.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Genes.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/miRNA_Targets_Prediction/Smolt_vs_Parr_up.mature_mirna/ssa-miR-novel-AGKD03052741.1_23813/Target Sites.xls&lt;br /&gt;
&lt;br /&gt;
Supplemental Pathway Analysis&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/down.mature_mirna/sas_pathwayResult.xls&lt;br /&gt;
 ./Svetlana Kalujnaia J_053117-miRNA-seq-6 (Supplement) 09282017/Pathway Analysis/up.mature_mirna/sas_pathwayResult.xls&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3134</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3134"/>
				<updated>2018-01-26T14:01:12Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Profiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3133</id>
		<title>MicroRNA and Salmo Salar</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=MicroRNA_and_Salmo_Salar&amp;diff=3133"/>
				<updated>2018-01-26T13:42:36Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: Created page with &amp;quot;= Introduction =  GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.  = outline of pipeline =  * mi...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
GC and SK sent samples to Arraystar, Rockville MD for miRNA analysis. What follows is an attempt to make sense of the results.&lt;br /&gt;
&lt;br /&gt;
= outline of pipeline =&lt;br /&gt;
&lt;br /&gt;
* miRNA Expression Porfiling&lt;br /&gt;
* Novel miRNA detection&lt;br /&gt;
* Differentially expressed miRNAs&lt;br /&gt;
* miRNA target prediction&lt;br /&gt;
* Pathway Analysis&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3132</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3132"/>
				<updated>2018-01-26T13:37:11Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Usage of Cluster=&lt;br /&gt;
* [[Cluster Manual]]&lt;br /&gt;
* [[Why a Queue Manager?]]&lt;br /&gt;
* [[Available Software]]&lt;br /&gt;
&lt;br /&gt;
= Documented Programs =&lt;br /&gt;
&lt;br /&gt;
The following can be seen as extra notes referring to these programs usage on the marvin cluster, with an emphais on example use-cases. Most, if not all, will have their own special websites, with more detailed manuals and further information.&lt;br /&gt;
&lt;br /&gt;
{|style=&amp;quot;width:85%&amp;quot;&lt;br /&gt;
|* [[abacas]]&lt;br /&gt;
|* [[albacore]]&lt;br /&gt;
|* [[ariba]]&lt;br /&gt;
|* [[aspera]]&lt;br /&gt;
|* [[assembly-stats]]&lt;br /&gt;
|* [[augustus]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BamQC]]&lt;br /&gt;
|* [[bamtools]]&lt;br /&gt;
|* [[banjo]]&lt;br /&gt;
|* [[bcftools]]&lt;br /&gt;
|* [[bedtools]]&lt;br /&gt;
|* [[bgenie]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BLAST]]&lt;br /&gt;
|* [[Blat]]&lt;br /&gt;
|* [[blast2go: b2g4pipe]]&lt;br /&gt;
|* [[bowtie]]&lt;br /&gt;
|* [[bowtie2]]&lt;br /&gt;
|* [[bwa]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BUSCO]]&lt;br /&gt;
|* [[CAFE]]&lt;br /&gt;
|* [[canu]]&lt;br /&gt;
|* [[cd-hit]]&lt;br /&gt;
|* [[cegma]]&lt;br /&gt;
|* [[clustal]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[cramtools]]&lt;br /&gt;
|* [[deeptools]]&lt;br /&gt;
|* [[detonate]]&lt;br /&gt;
|* [[diamond]]&lt;br /&gt;
|* [[ea-utils]]&lt;br /&gt;
|* [[ensembl]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[ETE]]&lt;br /&gt;
|* [[FASTQC and MultiQC]]&lt;br /&gt;
|* [[Archaeopteryx and Forester]]&lt;br /&gt;
|* [[GapFiller]]&lt;br /&gt;
|* [[GenomeTools]]&lt;br /&gt;
|* [[gubbins]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[JBrowse]]&lt;br /&gt;
|* [[kallisto]]&lt;br /&gt;
|* [[kentUtils]]&lt;br /&gt;
|* [[last]]&lt;br /&gt;
|* [[lastz]]&lt;br /&gt;
|* [[macs2]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[Mash]]&lt;br /&gt;
|* [[mega]]&lt;br /&gt;
|* [[meryl]]&lt;br /&gt;
|* [[MUMmer]]&lt;br /&gt;
|* [[NanoSim]]&lt;br /&gt;
|* [[nseq]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[OrthoFinder]]&lt;br /&gt;
|* [[PASA]]&lt;br /&gt;
|* [[perl]]&lt;br /&gt;
|* [[PGAP]]&lt;br /&gt;
|* [[picard-tools]]&lt;br /&gt;
|* [[poRe]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[poretools]]&lt;br /&gt;
|* [[prokka]]&lt;br /&gt;
|* [[pyrad]]&lt;br /&gt;
|* [[python]]&lt;br /&gt;
|* [[qualimap]]&lt;br /&gt;
|* [[quast]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[R]]&lt;br /&gt;
|* [[RAxML]]&lt;br /&gt;
|* [[Repeatmasker]]&lt;br /&gt;
|* [[Repeatmodeler]]&lt;br /&gt;
|* [[rnammer]]&lt;br /&gt;
|* [[roary]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[RSeQC]]&lt;br /&gt;
|* [[samtools]]&lt;br /&gt;
|* [[Satsuma]]&lt;br /&gt;
|* [[sickle]]&lt;br /&gt;
|* [[SPAdes]]&lt;br /&gt;
|* [[squid]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[sra-tools]]&lt;br /&gt;
|* [[srst2]]&lt;br /&gt;
|* [[SSPACE]]&lt;br /&gt;
|* [[stacks]]&lt;br /&gt;
|* [[Thor]]&lt;br /&gt;
|* [[Tophat]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[trimmomatic]]&lt;br /&gt;
|* [[Trinity]]&lt;br /&gt;
|* [[t-coffee]]&lt;br /&gt;
|* [[Unicycler]]&lt;br /&gt;
|* [[velvet]]&lt;br /&gt;
|* [[ViennaRNA]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
= Queue Manager Tips =&lt;br /&gt;
A cluster is a shared resource with different users running different types of analyses. Nearly all clusters use a piece of software called a queue manager to fairly share out the resource. The queue manager on marvin is called Grid Engine, and it has several commands available, all beginning with &amp;#039;&amp;#039;&amp;#039;q&amp;#039;&amp;#039;&amp;#039; and with &amp;#039;&amp;#039;&amp;#039;qsub&amp;#039;&amp;#039;&amp;#039; being the most commonly used as it submits a command via a jobscript to be processed. Here are some tips:&lt;br /&gt;
* [[Queue Manager Tips]]&lt;br /&gt;
* [[General Command-line Tips]]&lt;br /&gt;
* [[DRMAA for further Gridengine automation]]&lt;br /&gt;
&lt;br /&gt;
= Data Examples =&lt;br /&gt;
* [[Two Eel Scaffolds]]&lt;br /&gt;
&lt;br /&gt;
= Procedures =&lt;br /&gt;
(short sequence of tasks with a certain short-term goal, often, a simple script)&lt;br /&gt;
* [[Calculating coverage]]&lt;br /&gt;
* [[MinION Coverage sensitivity analysis]]&lt;br /&gt;
&lt;br /&gt;
= Navigating genomic data websites=&lt;br /&gt;
* [[Patric]]&lt;br /&gt;
* [[NCBI]]&lt;br /&gt;
* [[IGSR/1000 Genomes]]&lt;br /&gt;
&lt;br /&gt;
= Explanations=&lt;br /&gt;
* [[ITUcourse]]&lt;br /&gt;
* [[VCF]]&lt;br /&gt;
* [[Maximum Likelihood]]&lt;br /&gt;
* [[SNP Analysis and phylogenetics]]&lt;br /&gt;
* [[Normalization]]&lt;br /&gt;
&lt;br /&gt;
= Pipelines =&lt;br /&gt;
(Workflow with specific end-goals)&lt;br /&gt;
* [[Trinity_Protocol]]&lt;br /&gt;
* [[STAR BEAST]]&lt;br /&gt;
* [[callSNPs.py]]&lt;br /&gt;
* [[pairwiseCallSNPs]]&lt;br /&gt;
* [[mapping.py]]&lt;br /&gt;
* [[Edgen RNAseq]]&lt;br /&gt;
* [[Miseq Prokaryote FASTQ analysis]]&lt;br /&gt;
* [[snpcallphylo]]&lt;br /&gt;
* [[Bottlenose dolphin population genomic analysis]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 12.09.2017]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 07.11.2017]]&lt;br /&gt;
* [[Bisulfite Sequencing]]&lt;br /&gt;
* [[microRNA and Salmo Salar]]&lt;br /&gt;
&lt;br /&gt;
=Protocols=&lt;br /&gt;
(Extensive workflows with different with several possible end goals)&lt;br /&gt;
* [[Synthetic Long reads]]&lt;br /&gt;
* [[MinION (Oxford Nanopore)]]&lt;br /&gt;
* [[MinKNOW folders and log files]]&lt;br /&gt;
* [[Research Data Management]]&lt;br /&gt;
* [[MicroRNAs]]&lt;br /&gt;
&lt;br /&gt;
= Tech Reviews =&lt;br /&gt;
* [[SWATH-MS Data Analysis]]&lt;br /&gt;
&lt;br /&gt;
= Cluster Administration =&lt;br /&gt;
* [[Hardware Issues]]&lt;br /&gt;
* [[Admin Tips]]&lt;br /&gt;
* [[RedHat]]&lt;br /&gt;
* [[Globus_gridftp]]&lt;br /&gt;
* [[Galaxy Setup]]&lt;br /&gt;
* [[Son of Gridengine]]&lt;br /&gt;
* [[Blas Libraries]]&lt;br /&gt;
* [[CMake]]&lt;br /&gt;
* [[Users and Groups]]&lt;br /&gt;
* [[Installing software on marvin]]&lt;br /&gt;
* [[emailing]]&lt;br /&gt;
* [[biotime machine]]&lt;br /&gt;
* [[SCAN-pc laptop]]&lt;br /&gt;
* [[node1 issues]]&lt;br /&gt;
* [[6TB storage expansion]]&lt;br /&gt;
* [[SAN relocation task]]&lt;br /&gt;
* [[Home directories max-out incident 28.11.2016]]&lt;br /&gt;
* [[Frontend Restart]]&lt;br /&gt;
* [[environment-modules]]&lt;br /&gt;
* [[H: drive on cluster]]&lt;br /&gt;
* [[Incident: Can&amp;#039;t connect to BerkeleyDB]]&lt;br /&gt;
* [[Bioinformatics Wordpress Site]]&lt;br /&gt;
* [[Backups]]&lt;br /&gt;
* [[Python DRMAA]]&lt;br /&gt;
* [[SAN disconnect incident 10.01.2017]]&lt;br /&gt;
* [[Memory repair glitch 16.02.2017]]&lt;br /&gt;
* [[node9 network failure incident 16-20.03.2017]]&lt;br /&gt;
* [[Incorrect rebooting of marvin 19.09.2017]]&lt;br /&gt;
&lt;br /&gt;
= Courses =&lt;br /&gt;
&lt;br /&gt;
==I2U4BGA==&lt;br /&gt;
* [[Original schedule]]&lt;br /&gt;
* [[New schedule]]&lt;br /&gt;
* [[Actual schedule]]&lt;br /&gt;
* [[Course itself]]&lt;br /&gt;
* [[Biolinux Source course]]&lt;br /&gt;
* [[Directory Organization Exercise]]&lt;br /&gt;
* [[Glossary]]&lt;br /&gt;
* [[Key Bindings]]&lt;br /&gt;
* [[one-liners]]&lt;br /&gt;
* [[Cheatsheets]]&lt;br /&gt;
* [[Links]]&lt;br /&gt;
* [[pandoc modified manual]]&lt;br /&gt;
* [[Command Line Exercises]]&lt;br /&gt;
&lt;br /&gt;
= hdi2u =&lt;br /&gt;
&lt;br /&gt;
The half-day linux course held on 20th April. Modified version of I2U4BGA.&lt;br /&gt;
&lt;br /&gt;
* [[hdi2u_intro]]&lt;br /&gt;
* [[hdi2u_commandbased_exercises]]&lt;br /&gt;
* [[hdi2u_dirorg_exercise]]&lt;br /&gt;
* [[hdi2u_rendertotsv_exercise]]&lt;br /&gt;
&lt;br /&gt;
= RNAseq for DGE =&lt;br /&gt;
* [[Theoretical background]]&lt;br /&gt;
* [[Quality Control and Preprocessing]]&lt;br /&gt;
* [[Mapping to Reference]]&lt;br /&gt;
* [[Mapping Quality Exercise]]&lt;br /&gt;
* [[Key Aspects of using R]]&lt;br /&gt;
* [[Estimating Gene Count Exercise]]&lt;br /&gt;
* [[Differential Expression Exercise]]&lt;br /&gt;
* [[Functional Analysis Exercise]]&lt;br /&gt;
&lt;br /&gt;
= Introduction to Unix 2017 =&lt;br /&gt;
* [[Introduction_to_Unix_2017]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Templates==&lt;br /&gt;
* [[edgenl2g]]&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=SAN_relocation_task&amp;diff=3131</id>
		<title>SAN relocation task</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=SAN_relocation_task&amp;diff=3131"/>
				<updated>2018-01-25T15:44:41Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
During Dec 2017 and Jan 2018, Ally Kirk rang up to say IT Services were doing some relocation on their SAN which is where marvin&amp;#039;s STORAGE volume is located. The whole process is transparent, but it would be useful to have been supervise thigns operationally, just in case anything went wrong.&lt;br /&gt;
&lt;br /&gt;
= Tasks =&lt;br /&gt;
&lt;br /&gt;
Pretty similar to any changes that may occur on this volume:&lt;br /&gt;
* scan SCSI&lt;br /&gt;
* use multipath -ll to see what need device some up.&lt;br /&gt;
&lt;br /&gt;
= Read-outs prior to change-over =&lt;br /&gt;
&lt;br /&gt;
 root@marvin:/storage/home/users/ramon &amp;gt; multipath -ll&lt;br /&gt;
 mpathd (36000d3100051f800000000000000016e) dm-6 COMPELNT,Compellent Vol&lt;br /&gt;
 size=62T features=&amp;#039;1 queue_if_no_path&amp;#039; hwhandler=&amp;#039;0&amp;#039; wp=rw&lt;br /&gt;
 `-+- policy=&amp;#039;round-robin 0&amp;#039; prio=1 status=active&lt;br /&gt;
  |- 6:0:0:1 sdd 8:48  active ready running&lt;br /&gt;
  |- 7:0:6:1 sdf 8:80  active ready running&lt;br /&gt;
  |- 6:0:1:1 sde 8:64  active ready running&lt;br /&gt;
  |- 7:0:7:1 sdg 8:96  active ready running&lt;br /&gt;
  |- 6:0:4:1 sdh 8:112 active ready running&lt;br /&gt;
  |- 7:0:1:1 sdk 8:160 active ready running&lt;br /&gt;
  |- 6:0:5:1 sdi 8:128 active ready running&lt;br /&gt;
  `- 7:0:0:1 sdj 8:144 active ready running&lt;br /&gt;
 root@marvin:/storage/home/users/ramon &amp;gt; multipath -l&lt;br /&gt;
 mpathd (36000d3100051f800000000000000016e) dm-6 COMPELNT,Compellent Vol&lt;br /&gt;
 size=62T features=&amp;#039;1 queue_if_no_path&amp;#039; hwhandler=&amp;#039;0&amp;#039; wp=rw&lt;br /&gt;
 `-+- policy=&amp;#039;round-robin 0&amp;#039; prio=0 status=active&lt;br /&gt;
  |- 6:0:0:1 sdd 8:48  active undef unknown&lt;br /&gt;
  |- 7:0:6:1 sdf 8:80  active undef unknown&lt;br /&gt;
  |- 6:0:1:1 sde 8:64  active undef unknown&lt;br /&gt;
  |- 7:0:7:1 sdg 8:96  active undef unknown&lt;br /&gt;
  |- 6:0:4:1 sdh 8:112 active undef unknown&lt;br /&gt;
  |- 7:0:1:1 sdk 8:160 active undef unknown&lt;br /&gt;
  |- 6:0:5:1 sdi 8:128 active undef unknown&lt;br /&gt;
  `- 7:0:0:1 sdj 8:144 active undef unknown&lt;br /&gt;
&lt;br /&gt;
== Things to check ==&lt;br /&gt;
&lt;br /&gt;
How are the devices looking? Go to&lt;br /&gt;
 /sys/block/sdg/device&lt;br /&gt;
for sdg (similarly for sdd, sde, sdf)&lt;br /&gt;
&lt;br /&gt;
However, this exercise didn&amp;#039;t really reveal anything&lt;br /&gt;
&lt;br /&gt;
= After the change-over =&lt;br /&gt;
&lt;br /&gt;
 mpathd (36000d3100051f800000000000000016e) dm-6 COMPELNT,Compellent Vol&lt;br /&gt;
 size=62T features=&amp;#039;1 queue_if_no_path&amp;#039; hwhandler=&amp;#039;0&amp;#039; wp=rw&lt;br /&gt;
 `-+- policy=&amp;#039;round-robin 0&amp;#039; prio=1 status=active&lt;br /&gt;
  |- 6:0:0:1 sdd 8:48  failed faulty running&lt;br /&gt;
  |- 7:0:6:1 sdf 8:80  failed faulty running&lt;br /&gt;
  |- 6:0:1:1 sde 8:64  failed faulty running&lt;br /&gt;
  |- 7:0:7:1 sdg 8:96  failed faulty running&lt;br /&gt;
  |- 6:0:4:1 sdh 8:112 active ready running&lt;br /&gt;
  |- 7:0:1:1 sdk 8:160 active ready running&lt;br /&gt;
  |- 6:0:5:1 sdi 8:128 active ready running&lt;br /&gt;
  `- 7:0:0:1 sdj 8:144 active ready running&lt;br /&gt;
&lt;br /&gt;
Because all eight of these devices were &lt;br /&gt;
&lt;br /&gt;
 active ready running&lt;br /&gt;
&lt;br /&gt;
previously, I wrote to Ally with my understanding of the process:&lt;br /&gt;
&lt;br /&gt;
&amp;quot;SCSI id numbers coincide with previous scan output, new device names. Though a bit clueless about the process, it looks to me as though both sets of paths (4 devices each)  were working simultaneously, and what happened was, in the changeover, the first set was pulled and we&amp;#039;re seeing the second set stand on its own two feet (so to speak).&amp;quot;&lt;br /&gt;
&lt;br /&gt;
He verified this, so that &amp;quot;failed faulty running&amp;quot; is entirely expected, as the old SAN multipaths are withdrawn.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=SAN_relocation_task&amp;diff=3130</id>
		<title>SAN relocation task</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=SAN_relocation_task&amp;diff=3130"/>
				<updated>2018-01-25T14:33:35Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
During Dec 2017 and Jan 2018, Ally Kirk rang up to say IT Services were doing some relocaation on their SAN which is where marvin&amp;#039;s STORAGE volume is located.&lt;br /&gt;
&lt;br /&gt;
= Tasks =&lt;br /&gt;
&lt;br /&gt;
Pretty similar to any changes that may occur on this volume: scan SCSI!&lt;br /&gt;
&lt;br /&gt;
= Read-outs =&lt;br /&gt;
&lt;br /&gt;
 root@marvin:/storage/home/users/ramon &amp;gt; multipath -ll&lt;br /&gt;
 mpathd (36000d3100051f800000000000000016e) dm-6 COMPELNT,Compellent Vol&lt;br /&gt;
 size=62T features=&amp;#039;1 queue_if_no_path&amp;#039; hwhandler=&amp;#039;0&amp;#039; wp=rw&lt;br /&gt;
 `-+- policy=&amp;#039;round-robin 0&amp;#039; prio=1 status=active&lt;br /&gt;
  |- 6:0:0:1 sdd 8:48  active ready running&lt;br /&gt;
  |- 7:0:6:1 sdf 8:80  active ready running&lt;br /&gt;
  |- 6:0:1:1 sde 8:64  active ready running&lt;br /&gt;
  |- 7:0:7:1 sdg 8:96  active ready running&lt;br /&gt;
  |- 6:0:4:1 sdh 8:112 active ready running&lt;br /&gt;
  |- 7:0:1:1 sdk 8:160 active ready running&lt;br /&gt;
  |- 6:0:5:1 sdi 8:128 active ready running&lt;br /&gt;
  `- 7:0:0:1 sdj 8:144 active ready running&lt;br /&gt;
 root@marvin:/storage/home/users/ramon &amp;gt; multipath -l&lt;br /&gt;
 mpathd (36000d3100051f800000000000000016e) dm-6 COMPELNT,Compellent Vol&lt;br /&gt;
 size=62T features=&amp;#039;1 queue_if_no_path&amp;#039; hwhandler=&amp;#039;0&amp;#039; wp=rw&lt;br /&gt;
 `-+- policy=&amp;#039;round-robin 0&amp;#039; prio=0 status=active&lt;br /&gt;
  |- 6:0:0:1 sdd 8:48  active undef unknown&lt;br /&gt;
  |- 7:0:6:1 sdf 8:80  active undef unknown&lt;br /&gt;
  |- 6:0:1:1 sde 8:64  active undef unknown&lt;br /&gt;
  |- 7:0:7:1 sdg 8:96  active undef unknown&lt;br /&gt;
  |- 6:0:4:1 sdh 8:112 active undef unknown&lt;br /&gt;
  |- 7:0:1:1 sdk 8:160 active undef unknown&lt;br /&gt;
  |- 6:0:5:1 sdi 8:128 active undef unknown&lt;br /&gt;
  `- 7:0:0:1 sdj 8:144 active undef unknown&lt;br /&gt;
&lt;br /&gt;
= Things to check =&lt;br /&gt;
&lt;br /&gt;
How are the devices looking? Go to&lt;br /&gt;
 /sys/block/sdg/device&lt;br /&gt;
for sdg (similarly for sdd, sde, sdf)&lt;br /&gt;
&lt;br /&gt;
However, this exercise didn&amp;#039;t really reveal anything&lt;br /&gt;
&lt;br /&gt;
= After the &amp;quot;changeover&amp;quot; =&lt;br /&gt;
&lt;br /&gt;
 mpathd (36000d3100051f800000000000000016e) dm-6 COMPELNT,Compellent Vol&lt;br /&gt;
 size=62T features=&amp;#039;1 queue_if_no_path&amp;#039; hwhandler=&amp;#039;0&amp;#039; wp=rw&lt;br /&gt;
 `-+- policy=&amp;#039;round-robin 0&amp;#039; prio=1 status=active&lt;br /&gt;
  |- 6:0:0:1 sdd 8:48  failed faulty running&lt;br /&gt;
  |- 7:0:6:1 sdf 8:80  failed faulty running&lt;br /&gt;
  |- 6:0:1:1 sde 8:64  failed faulty running&lt;br /&gt;
  |- 7:0:7:1 sdg 8:96  failed faulty running&lt;br /&gt;
  |- 6:0:4:1 sdh 8:112 active ready running&lt;br /&gt;
  |- 7:0:1:1 sdk 8:160 active ready running&lt;br /&gt;
  |- 6:0:5:1 sdi 8:128 active ready running&lt;br /&gt;
  `- 7:0:0:1 sdj 8:144 active ready running&lt;br /&gt;
&lt;br /&gt;
Because all eight of these devices were &lt;br /&gt;
&lt;br /&gt;
 active ready running&lt;br /&gt;
&lt;br /&gt;
previously, I wrote to Ally with my understanding of the process:&lt;br /&gt;
&lt;br /&gt;
&amp;quot;SCSI id numbers coincide with previous scan output, new device names. Though a bit clueless about the process, it looks to me as though both sets of paths (4 devices each)  were working simultaneously, and what happened was, in the changeover, the first set was pulled and we&amp;#039;re seeing the second set stand on its own two feet (so to speak).&amp;quot;&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=SAN_relocation_task&amp;diff=3129</id>
		<title>SAN relocation task</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=SAN_relocation_task&amp;diff=3129"/>
				<updated>2018-01-25T14:10:27Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: Created page with &amp;quot;= Introduction =  During Dec 2017 and Jan 2018, Ally Kirk rang up to say IT Services were doing some relocaation on their SAN which is where marvin&amp;#039;s STORAGE volume is located...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Introduction =&lt;br /&gt;
&lt;br /&gt;
During Dec 2017 and Jan 2018, Ally Kirk rang up to say IT Services were doing some relocaation on their SAN which is where marvin&amp;#039;s STORAGE volume is located.&lt;br /&gt;
&lt;br /&gt;
= Tasks =&lt;br /&gt;
&lt;br /&gt;
Pretty similar to any changes that may occur on this volume: scan SCSI!&lt;br /&gt;
&lt;br /&gt;
= Read-outs =&lt;br /&gt;
&lt;br /&gt;
 root@marvin:/storage/home/users/ramon &amp;gt; multipath -ll&lt;br /&gt;
 mpathd (36000d3100051f800000000000000016e) dm-6 COMPELNT,Compellent Vol&lt;br /&gt;
 size=62T features=&amp;#039;1 queue_if_no_path&amp;#039; hwhandler=&amp;#039;0&amp;#039; wp=rw&lt;br /&gt;
 `-+- policy=&amp;#039;round-robin 0&amp;#039; prio=1 status=active&lt;br /&gt;
  |- 6:0:0:1 sdd 8:48  active ready running&lt;br /&gt;
  |- 7:0:6:1 sdf 8:80  active ready running&lt;br /&gt;
  |- 6:0:1:1 sde 8:64  active ready running&lt;br /&gt;
  |- 7:0:7:1 sdg 8:96  active ready running&lt;br /&gt;
  |- 6:0:4:1 sdh 8:112 active ready running&lt;br /&gt;
  |- 7:0:1:1 sdk 8:160 active ready running&lt;br /&gt;
  |- 6:0:5:1 sdi 8:128 active ready running&lt;br /&gt;
  `- 7:0:0:1 sdj 8:144 active ready running&lt;br /&gt;
 root@marvin:/storage/home/users/ramon &amp;gt; multipath -l&lt;br /&gt;
 mpathd (36000d3100051f800000000000000016e) dm-6 COMPELNT,Compellent Vol&lt;br /&gt;
 size=62T features=&amp;#039;1 queue_if_no_path&amp;#039; hwhandler=&amp;#039;0&amp;#039; wp=rw&lt;br /&gt;
 `-+- policy=&amp;#039;round-robin 0&amp;#039; prio=0 status=active&lt;br /&gt;
  |- 6:0:0:1 sdd 8:48  active undef unknown&lt;br /&gt;
  |- 7:0:6:1 sdf 8:80  active undef unknown&lt;br /&gt;
  |- 6:0:1:1 sde 8:64  active undef unknown&lt;br /&gt;
  |- 7:0:7:1 sdg 8:96  active undef unknown&lt;br /&gt;
  |- 6:0:4:1 sdh 8:112 active undef unknown&lt;br /&gt;
  |- 7:0:1:1 sdk 8:160 active undef unknown&lt;br /&gt;
  |- 6:0:5:1 sdi 8:128 active undef unknown&lt;br /&gt;
  `- 7:0:0:1 sdj 8:144 active undef unknown&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3128</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=Main_Page&amp;diff=3128"/>
				<updated>2018-01-25T14:07:51Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Usage of Cluster=&lt;br /&gt;
* [[Cluster Manual]]&lt;br /&gt;
* [[Why a Queue Manager?]]&lt;br /&gt;
* [[Available Software]]&lt;br /&gt;
&lt;br /&gt;
= Documented Programs =&lt;br /&gt;
&lt;br /&gt;
The following can be seen as extra notes referring to these programs usage on the marvin cluster, with an emphais on example use-cases. Most, if not all, will have their own special websites, with more detailed manuals and further information.&lt;br /&gt;
&lt;br /&gt;
{|style=&amp;quot;width:85%&amp;quot;&lt;br /&gt;
|* [[abacas]]&lt;br /&gt;
|* [[albacore]]&lt;br /&gt;
|* [[ariba]]&lt;br /&gt;
|* [[aspera]]&lt;br /&gt;
|* [[assembly-stats]]&lt;br /&gt;
|* [[augustus]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BamQC]]&lt;br /&gt;
|* [[bamtools]]&lt;br /&gt;
|* [[banjo]]&lt;br /&gt;
|* [[bcftools]]&lt;br /&gt;
|* [[bedtools]]&lt;br /&gt;
|* [[bgenie]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BLAST]]&lt;br /&gt;
|* [[Blat]]&lt;br /&gt;
|* [[blast2go: b2g4pipe]]&lt;br /&gt;
|* [[bowtie]]&lt;br /&gt;
|* [[bowtie2]]&lt;br /&gt;
|* [[bwa]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[BUSCO]]&lt;br /&gt;
|* [[CAFE]]&lt;br /&gt;
|* [[canu]]&lt;br /&gt;
|* [[cd-hit]]&lt;br /&gt;
|* [[cegma]]&lt;br /&gt;
|* [[clustal]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[cramtools]]&lt;br /&gt;
|* [[deeptools]]&lt;br /&gt;
|* [[detonate]]&lt;br /&gt;
|* [[diamond]]&lt;br /&gt;
|* [[ea-utils]]&lt;br /&gt;
|* [[ensembl]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[ETE]]&lt;br /&gt;
|* [[FASTQC and MultiQC]]&lt;br /&gt;
|* [[Archaeopteryx and Forester]]&lt;br /&gt;
|* [[GapFiller]]&lt;br /&gt;
|* [[GenomeTools]]&lt;br /&gt;
|* [[gubbins]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[JBrowse]]&lt;br /&gt;
|* [[kallisto]]&lt;br /&gt;
|* [[kentUtils]]&lt;br /&gt;
|* [[last]]&lt;br /&gt;
|* [[lastz]]&lt;br /&gt;
|* [[macs2]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[Mash]]&lt;br /&gt;
|* [[mega]]&lt;br /&gt;
|* [[meryl]]&lt;br /&gt;
|* [[MUMmer]]&lt;br /&gt;
|* [[NanoSim]]&lt;br /&gt;
|* [[nseq]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[OrthoFinder]]&lt;br /&gt;
|* [[PASA]]&lt;br /&gt;
|* [[perl]]&lt;br /&gt;
|* [[PGAP]]&lt;br /&gt;
|* [[picard-tools]]&lt;br /&gt;
|* [[poRe]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[poretools]]&lt;br /&gt;
|* [[prokka]]&lt;br /&gt;
|* [[pyrad]]&lt;br /&gt;
|* [[python]]&lt;br /&gt;
|* [[qualimap]]&lt;br /&gt;
|* [[quast]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[R]]&lt;br /&gt;
|* [[RAxML]]&lt;br /&gt;
|* [[Repeatmasker]]&lt;br /&gt;
|* [[Repeatmodeler]]&lt;br /&gt;
|* [[rnammer]]&lt;br /&gt;
|* [[roary]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[RSeQC]]&lt;br /&gt;
|* [[samtools]]&lt;br /&gt;
|* [[Satsuma]]&lt;br /&gt;
|* [[sickle]]&lt;br /&gt;
|* [[SPAdes]]&lt;br /&gt;
|* [[squid]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[sra-tools]]&lt;br /&gt;
|* [[srst2]]&lt;br /&gt;
|* [[SSPACE]]&lt;br /&gt;
|* [[stacks]]&lt;br /&gt;
|* [[Thor]]&lt;br /&gt;
|* [[Tophat]]&lt;br /&gt;
|-&lt;br /&gt;
|* [[trimmomatic]]&lt;br /&gt;
|* [[Trinity]]&lt;br /&gt;
|* [[t-coffee]]&lt;br /&gt;
|* [[Unicycler]]&lt;br /&gt;
|* [[velvet]]&lt;br /&gt;
|* [[ViennaRNA]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
= Queue Manager Tips =&lt;br /&gt;
A cluster is a shared resource with different users running different types of analyses. Nearly all clusters use a piece of software called a queue manager to fairly share out the resource. The queue manager on marvin is called Grid Engine, and it has several commands available, all beginning with &amp;#039;&amp;#039;&amp;#039;q&amp;#039;&amp;#039;&amp;#039; and with &amp;#039;&amp;#039;&amp;#039;qsub&amp;#039;&amp;#039;&amp;#039; being the most commonly used as it submits a command via a jobscript to be processed. Here are some tips:&lt;br /&gt;
* [[Queue Manager Tips]]&lt;br /&gt;
* [[General Command-line Tips]]&lt;br /&gt;
* [[DRMAA for further Gridengine automation]]&lt;br /&gt;
&lt;br /&gt;
= Data Examples =&lt;br /&gt;
* [[Two Eel Scaffolds]]&lt;br /&gt;
&lt;br /&gt;
= Procedures =&lt;br /&gt;
(short sequence of tasks with a certain short-term goal, often, a simple script)&lt;br /&gt;
* [[Calculating coverage]]&lt;br /&gt;
* [[MinION Coverage sensitivity analysis]]&lt;br /&gt;
&lt;br /&gt;
= Navigating genomic data websites=&lt;br /&gt;
* [[Patric]]&lt;br /&gt;
* [[NCBI]]&lt;br /&gt;
* [[IGSR/1000 Genomes]]&lt;br /&gt;
&lt;br /&gt;
= Explanations=&lt;br /&gt;
* [[ITUcourse]]&lt;br /&gt;
* [[VCF]]&lt;br /&gt;
* [[Maximum Likelihood]]&lt;br /&gt;
* [[SNP Analysis and phylogenetics]]&lt;br /&gt;
* [[Normalization]]&lt;br /&gt;
&lt;br /&gt;
= Pipelines =&lt;br /&gt;
(Workflow with specific end-goals)&lt;br /&gt;
* [[Trinity_Protocol]]&lt;br /&gt;
* [[STAR BEAST]]&lt;br /&gt;
* [[callSNPs.py]]&lt;br /&gt;
* [[pairwiseCallSNPs]]&lt;br /&gt;
* [[mapping.py]]&lt;br /&gt;
* [[Edgen RNAseq]]&lt;br /&gt;
* [[Miseq Prokaryote FASTQ analysis]]&lt;br /&gt;
* [[snpcallphylo]]&lt;br /&gt;
* [[Bottlenose dolphin population genomic analysis]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 12.09.2017]]&lt;br /&gt;
* [[ChIP-Seq Top2 in Yeast 07.11.2017]]&lt;br /&gt;
* [[Bisulfite Sequencing]]&lt;br /&gt;
&lt;br /&gt;
=Protocols=&lt;br /&gt;
(Extensive workflows with different with several possible end goals)&lt;br /&gt;
* [[Synthetic Long reads]]&lt;br /&gt;
* [[MinION (Oxford Nanopore)]]&lt;br /&gt;
* [[MinKNOW folders and log files]]&lt;br /&gt;
* [[Research Data Management]]&lt;br /&gt;
* [[MicroRNAs]]&lt;br /&gt;
&lt;br /&gt;
= Tech Reviews =&lt;br /&gt;
* [[SWATH-MS Data Analysis]]&lt;br /&gt;
&lt;br /&gt;
= Cluster Administration =&lt;br /&gt;
* [[Hardware Issues]]&lt;br /&gt;
* [[Admin Tips]]&lt;br /&gt;
* [[RedHat]]&lt;br /&gt;
* [[Globus_gridftp]]&lt;br /&gt;
* [[Galaxy Setup]]&lt;br /&gt;
* [[Son of Gridengine]]&lt;br /&gt;
* [[Blas Libraries]]&lt;br /&gt;
* [[CMake]]&lt;br /&gt;
* [[Users and Groups]]&lt;br /&gt;
* [[Installing software on marvin]]&lt;br /&gt;
* [[emailing]]&lt;br /&gt;
* [[biotime machine]]&lt;br /&gt;
* [[SCAN-pc laptop]]&lt;br /&gt;
* [[node1 issues]]&lt;br /&gt;
* [[6TB storage expansion]]&lt;br /&gt;
* [[SAN relocation task]]&lt;br /&gt;
* [[Home directories max-out incident 28.11.2016]]&lt;br /&gt;
* [[Frontend Restart]]&lt;br /&gt;
* [[environment-modules]]&lt;br /&gt;
* [[H: drive on cluster]]&lt;br /&gt;
* [[Incident: Can&amp;#039;t connect to BerkeleyDB]]&lt;br /&gt;
* [[Bioinformatics Wordpress Site]]&lt;br /&gt;
* [[Backups]]&lt;br /&gt;
* [[Python DRMAA]]&lt;br /&gt;
* [[SAN disconnect incident 10.01.2017]]&lt;br /&gt;
* [[Memory repair glitch 16.02.2017]]&lt;br /&gt;
* [[node9 network failure incident 16-20.03.2017]]&lt;br /&gt;
* [[Incorrect rebooting of marvin 19.09.2017]]&lt;br /&gt;
&lt;br /&gt;
= Courses =&lt;br /&gt;
&lt;br /&gt;
==I2U4BGA==&lt;br /&gt;
* [[Original schedule]]&lt;br /&gt;
* [[New schedule]]&lt;br /&gt;
* [[Actual schedule]]&lt;br /&gt;
* [[Course itself]]&lt;br /&gt;
* [[Biolinux Source course]]&lt;br /&gt;
* [[Directory Organization Exercise]]&lt;br /&gt;
* [[Glossary]]&lt;br /&gt;
* [[Key Bindings]]&lt;br /&gt;
* [[one-liners]]&lt;br /&gt;
* [[Cheatsheets]]&lt;br /&gt;
* [[Links]]&lt;br /&gt;
* [[pandoc modified manual]]&lt;br /&gt;
* [[Command Line Exercises]]&lt;br /&gt;
&lt;br /&gt;
= hdi2u =&lt;br /&gt;
&lt;br /&gt;
The half-day linux course held on 20th April. Modified version of I2U4BGA.&lt;br /&gt;
&lt;br /&gt;
* [[hdi2u_intro]]&lt;br /&gt;
* [[hdi2u_commandbased_exercises]]&lt;br /&gt;
* [[hdi2u_dirorg_exercise]]&lt;br /&gt;
* [[hdi2u_rendertotsv_exercise]]&lt;br /&gt;
&lt;br /&gt;
= RNAseq for DGE =&lt;br /&gt;
* [[Theoretical background]]&lt;br /&gt;
* [[Quality Control and Preprocessing]]&lt;br /&gt;
* [[Mapping to Reference]]&lt;br /&gt;
* [[Mapping Quality Exercise]]&lt;br /&gt;
* [[Key Aspects of using R]]&lt;br /&gt;
* [[Estimating Gene Count Exercise]]&lt;br /&gt;
* [[Differential Expression Exercise]]&lt;br /&gt;
* [[Functional Analysis Exercise]]&lt;br /&gt;
&lt;br /&gt;
= Introduction to Unix 2017 =&lt;br /&gt;
* [[Introduction_to_Unix_2017]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Templates==&lt;br /&gt;
* [[edgenl2g]]&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

	<entry>
		<id>http://stab.st-andrews.ac.uk/wiki/index.php?title=RedHat&amp;diff=3122</id>
		<title>RedHat</title>
		<link rel="alternate" type="text/html" href="http://stab.st-andrews.ac.uk/wiki/index.php?title=RedHat&amp;diff=3122"/>
				<updated>2018-01-24T14:09:19Z</updated>
		
		<summary type="html">&lt;p&gt;Rf: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The StABU cluster subscribes to Red Hat, and uses version 6, which is one behind the latest version, version 7.  &lt;br /&gt;
&lt;br /&gt;
As of November 2017, all nodes were on the latest version of version 6.9 &amp;quot;Santiago&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
Being one version behind is typicaly not a problem, as it continues to be fully supported. However, there are software packages that like to use the bleeding edge, and there are admitted problems installing these programs.&lt;br /&gt;
&lt;br /&gt;
= Installation of devtoolset-2 =&lt;br /&gt;
&lt;br /&gt;
There are two ways apparently via RHN Classic or RH Subscription Management, and we choose the latter because there is a useful command-line tool for it.&lt;br /&gt;
&lt;br /&gt;
To install on a node:&lt;br /&gt;
 ssh node4 &amp;#039;subscription-manager subscribe --pool=8a85f9814ed67b98014eda13ed983c7d&amp;#039;&lt;br /&gt;
&lt;br /&gt;
Note here that we have previously been able to verify the pool ID. Documentation for this can be found at&lt;br /&gt;
&lt;br /&gt;
[https://access.redhat.com/documentation/en-US/Red_Hat_Developer_Toolset/1/html/User_Guide/sect-Red_Hat_Developer_Toolset-Subscribe.html Click here or google Red Hat Developer Toolset]&lt;br /&gt;
&lt;br /&gt;
This will also enable the appropriate repos for you (though *-source-rpms and *-debug-rpms may be left out).&lt;br /&gt;
&lt;br /&gt;
= Problems =&lt;br /&gt;
&lt;br /&gt;
== outdated repomd.xml warnings ==&lt;br /&gt;
You can get rid of them (i.e. update the repomd.xml) by:&lt;br /&gt;
 yum clean all&lt;br /&gt;
 yum update yum*&lt;br /&gt;
&lt;br /&gt;
== PYCURL error 7 ==&lt;br /&gt;
&lt;br /&gt;
Note that this could easily occur is the squid server on marvin has failed. Make sure you at least try and restart the squid server on marvin.&lt;br /&gt;
&lt;br /&gt;
[https://access.redhat.com/solutions/291643 This link] has a fairly exhaustive for checking errors using &amp;#039;&amp;#039;&amp;#039;tcpdump&amp;#039;&amp;#039;&amp;#039; and &amp;#039;&amp;#039;&amp;#039;nc&amp;#039;&amp;#039;&amp;#039;.&lt;br /&gt;
&lt;br /&gt;
= RedHat service types =&lt;br /&gt;
&lt;br /&gt;
* A service is usually under one or more of these.&lt;br /&gt;
* Some of them are a little old.&lt;br /&gt;
* it&amp;#039;s probably best to use subscription manager.&lt;br /&gt;
 man subscription-manager&lt;br /&gt;
will work.&lt;br /&gt;
&lt;br /&gt;
The wiki entry on problems with node1 can also be helpful: [http://stab.st-andrews.ac.uk/wiki/index.php/Node1_issues node 1 issues]&lt;br /&gt;
&lt;br /&gt;
In November, marvin was migrated from RHN to RHSM. This apparently looked difficult to do, but then it turned out that RHN was being decomissioned, so there was no choice. In the end, it was not such a difficult thing to do with the &lt;br /&gt;
 rhn-migrate-classic-to-rhsm&lt;br /&gt;
&lt;br /&gt;
command.&lt;br /&gt;
&lt;br /&gt;
= ssl connection errors =&lt;br /&gt;
&lt;br /&gt;
The nodes are connected to the internet via the squid proxy service running on marvin. The proxy was installed due to pressure from IT Services, as the NAT option has been discredited by them. In Miguel-era StABU, the NAT would be set up during updates or short temporary periods (a hour or two) and then closed. However, this would mean that generally, the nodes woul dnot have access to internet.&lt;br /&gt;
&lt;br /&gt;
The Squid proxy was installed so that nodes would have full internet access and to satisfy IT Services. The relevant IP and port numbers are&lt;br /&gt;
&lt;br /&gt;
 172.25.64.1:3128&lt;br /&gt;
&lt;br /&gt;
This has always worked quite well since 2016 when it was installed. And the big September 2017 update went through without a hitch. However in November 2017, it started failing with SSL connection errors. Not to EPEL or anything that was not REd Hat, but criticially, to &lt;br /&gt;
&lt;br /&gt;
 https://cdn.redhat.com/content/dist/rhel/server/6/6Server/x86_64/optional/os/repodata/repomd.xml&lt;br /&gt;
&lt;br /&gt;
This is nasty because it&amp;#039;s the most important connection. A longish, but somewhat raw troubleshooting page from Red Hat is up at [https://access.redhat.com/solutions/189533 this link.&lt;br /&gt;
&lt;br /&gt;
One vital test is working out whether you can get through to Redhat&amp;#039;s SSL https servers. Try this with &lt;br /&gt;
&lt;br /&gt;
 curl -v --proxy 172.25.64.1:3128 https://subscription.rhn.redhat.com --cacert /etc/rhsm/ca/redhat-uep.pem&lt;br /&gt;
&lt;br /&gt;
or, because it seems to amount to the same thing:&lt;br /&gt;
&lt;br /&gt;
 curl -v -k --proxy 172.25.64.1:3128 https://subscription.rhn.redhat.com/subscription/ --cacert /etc/rhsm/ca/redhat-uep.pem&lt;br /&gt;
&lt;br /&gt;
Output from this, with this problem still present is&lt;br /&gt;
&lt;br /&gt;
 *   Trying 172.25.64.1...&lt;br /&gt;
 * TCP_NODELAY set&lt;br /&gt;
 * Connected to 172.25.64.1 (172.25.64.1) port 3128 (#0)&lt;br /&gt;
 * Establish HTTP proxy tunnel to subscription.rhn.redhat.com:443&lt;br /&gt;
 &amp;gt; CONNECT subscription.rhn.redhat.com:443 HTTP/1.1&lt;br /&gt;
 &amp;gt; Host: subscription.rhn.redhat.com:443&lt;br /&gt;
 &amp;gt; User-Agent: curl/7.54.1&lt;br /&gt;
 &amp;gt; Proxy-Connection: Keep-Alive&lt;br /&gt;
 &amp;gt; &lt;br /&gt;
 &amp;lt; HTTP/1.0 200 Connection established&lt;br /&gt;
 &amp;lt; &lt;br /&gt;
 * Proxy replied OK to CONNECT request&lt;br /&gt;
 * Cipher selection: ALL:!EXPORT:!EXPORT40:!EXPORT56:!aNULL:!LOW:!RC4:@STRENGTH&lt;br /&gt;
 * successfully set certificate verify locations:&lt;br /&gt;
 *   CAfile: /etc/rhsm/ca/redhat-uep.pem&lt;br /&gt;
   CApath: none&lt;br /&gt;
 * TLSv1.2 (OUT), TLS handshake, Client hello (1):&lt;br /&gt;
 * TLSv1.2 (IN), TLS handshake, Server hello (2):&lt;br /&gt;
 * TLSv1.2 (IN), TLS handshake, Certificate (11):&lt;br /&gt;
 * TLSv1.2 (IN), TLS handshake, Request CERT (13):&lt;br /&gt;
 * TLSv1.2 (IN), TLS handshake, Server finished (14):&lt;br /&gt;
 * TLSv1.2 (OUT), TLS handshake, Certificate (11):&lt;br /&gt;
 * TLSv1.2 (OUT), TLS handshake, Client key exchange (16):&lt;br /&gt;
 * TLSv1.2 (OUT), TLS change cipher, Client hello (1):&lt;br /&gt;
 * TLSv1.2 (OUT), TLS handshake, Finished (20):&lt;br /&gt;
 * TLSv1.2 (IN), TLS change cipher, Client hello (1):&lt;br /&gt;
 * TLSv1.2 (IN), TLS handshake, Finished (20):&lt;br /&gt;
 * SSL connection using TLSv1.2 / AES256-GCM-SHA384&lt;br /&gt;
 * Server certificate:&lt;br /&gt;
 *  subject: C=US; ST=North Carolina; O=Red Hat, Inc.; OU=Red Hat Network; CN=subscription.rhn.redhat.com; emailAddress=customerservice@redhat.com&lt;br /&gt;
 *  start date: May 18 16:24:18 2017 GMT&lt;br /&gt;
 *  expire date: May 18 16:24:18 2019 GMT&lt;br /&gt;
 *  issuer: C=US; ST=North Carolina; O=Red Hat, Inc.; OU=Red Hat Network; CN=Red Hat Entitlement Operations Authority; emailAddress=ca-support@redhat.com&lt;br /&gt;
 *  SSL certificate verify ok.&lt;br /&gt;
 &amp;gt; GET /subscription/ HTTP/1.1&lt;br /&gt;
 &amp;gt; Host: subscription.rhn.redhat.com&lt;br /&gt;
 &amp;gt; User-Agent: curl/7.54.1&lt;br /&gt;
 &amp;gt; Accept: */*&lt;br /&gt;
 &amp;gt; &lt;br /&gt;
 * HTTP 1.0, assume close after body &lt;br /&gt;
 &amp;lt; HTTP/1.0 200 OK&lt;br /&gt;
 &amp;lt; Content-Type: application/json&lt;br /&gt;
 &amp;lt; Server: BigIP&lt;br /&gt;
 * HTTP/1.0 connection set to keep alive!&lt;br /&gt;
 &amp;lt; Connection: Keep-Alive&lt;br /&gt;
 &amp;lt; Content-Length: 1224&lt;br /&gt;
 &amp;lt; &lt;br /&gt;
 [ {&amp;quot;rel&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;deleted_consumers&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/deleted_consumers&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;consumertypes&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/consumertypes&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;crl&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/crl&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;entitlements&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/entitlements&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;guestids&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/consumers/{consumer_uuid}/guestids&amp;quot;},&lt;br /&gt;
 {&amp;quot;rel&amp;quot;:&amp;quot;pools&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/pools&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;products&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/products&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;activation_keys&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/activation_keys&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;statistics/generate&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/statistics/generate&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;distributor_versions&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/distributor_versions&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;owners&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/owners&amp;quot;},&lt;br /&gt;
 {&amp;quot;rel&amp;quot;:&amp;quot;cdn&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/cdn&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;roles&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/roles&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;events&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/events&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;consumers&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/consumers&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;atom&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/atom&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;content_overrides&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/consumers/{consumer_uuid}/content_overrides&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;rules&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/rules&amp;quot;},&lt;br /&gt;
 {&amp;quot;rel&amp;quot;:&amp;quot;content&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/content&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;hypervisors&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/hypervisors&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;users&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/users&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;migrations&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/migrations&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;status&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/status&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;admin&amp;quot;* Connection #0 to host 172.25.64.1 left intact&lt;br /&gt;
 ,&amp;quot;href&amp;quot;:&amp;quot;/admin&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;serials&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/serials&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;jobs&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/jobs&amp;quot;},{&amp;quot;rel&amp;quot;:&amp;quot;subscriptions&amp;quot;,&amp;quot;href&amp;quot;:&amp;quot;/subscriptions&amp;quot;} ,{&amp;quot;href&amp;quot;: &amp;quot;/consumers/{consumer_uuid}/packages&amp;quot;,&amp;quot;rel&amp;quot;: &amp;quot;packages&amp;quot;} ]&lt;br /&gt;
&lt;br /&gt;
This all looks really positive. Is the error bona-fide? Well, it does refer to optional-rpms only? Yes, in fact, this is the nature of the problem. OK, disable it&lt;br /&gt;
&lt;br /&gt;
 subscription-manager repos --disable rhel-6-server-optional-rpms&lt;br /&gt;
&lt;br /&gt;
However, this gets the following error:&lt;br /&gt;
&lt;br /&gt;
/var/log/rhsm/rhsm.log&lt;br /&gt;
&lt;br /&gt;
== Work around ==&lt;br /&gt;
&lt;br /&gt;
The Redhat webpage helping with this issue mentioned above (#189533) rambles on a bit, it&amp;#039;s not quite clear how to follow it. Problem is, it&amp;#039;s often quoted as the go-to webpage for thes e issues! In any case, none of its checks gave any joy. Over and over again, &amp;quot;yum check-update&amp;quot; would fail continuously with the Error 14 no ssl connection.&lt;br /&gt;
&lt;br /&gt;
Because updating the nodes is rather import, the workaroudn consists of&lt;br /&gt;
* opening up the NAT temporarily from marvin&lt;br /&gt;
 sudo iptables -t nat -A POSTROUTING -o bond0.506 -j MASQUERADE&lt;br /&gt;
* on each node, commenting out  proxy IP and port number in the &lt;br /&gt;
 /etc/rhsm/rhsm.conf&lt;br /&gt;
file&lt;br /&gt;
* updating yum as usual, and rebooting node&lt;br /&gt;
* (optional because root cause is not resolved) uncomment the proxy IP and PORT settings in /etc/rhsm/rhsm.conf.&lt;br /&gt;
* If yu have finished with the nodes, then remove the NAT rule on marvin:&lt;br /&gt;
 sudo iptables -t nat -D POSTROUTING 1&lt;br /&gt;
(note this command assumes the rule to be the only rule and numbered &amp;quot;1&amp;quot;)&lt;br /&gt;
&lt;br /&gt;
= Considering upgrading to RHEL7 =&lt;br /&gt;
&lt;br /&gt;
A link for this is [https://access.redhat.com/solutions/637583 solution number 637583]&lt;br /&gt;
&lt;br /&gt;
== Thoughts ==&lt;br /&gt;
* This could be one heck of an epic upgrade, especially as regards the manually installed software programs (150 or them, some of them very big)&lt;br /&gt;
* Most likely it will be the different C library that will cause problems&lt;br /&gt;
* Library and linking problems are big ... fear them!&lt;br /&gt;
&lt;br /&gt;
== Test with node10 ==&lt;br /&gt;
&lt;br /&gt;
Following solution 637583, we install the upgrade assessemnt software and and run&lt;br /&gt;
&lt;br /&gt;
 preupg&lt;br /&gt;
&lt;br /&gt;
which, happily enough, will not install the upgrade but report on what problems are likely to be encountered.&lt;br /&gt;
&lt;br /&gt;
Note, that it takes a while to run, may be 30 mins.&lt;/div&gt;</summary>
		<author><name>Rf</name></author>	</entry>

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