Difference between revisions of "Mapping to Reference Exercise"
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cd Reference | cd Reference | ||
− | bowtie2-build mm10_chr19-1-20000000. | + | bowtie2-build mm10_chr19-1-20000000.fa mm10_chr19-1-20000000 |
+ | |||
+ | Note the "fa" extension for the reference this is due to a preference of tophat which we'll be using below. | ||
Run the alignment using TopHat2: | Run the alignment using TopHat2: | ||
cd .. | cd .. | ||
− | + | tophat -o tophat2 --no-mixed --rg-id Lane-1 --rg-sample sample1 --rg-center XYZ --rg-platform Illumina -G Reference/mm10_chr19-1-20000000_Ensembl.gtf Reference/mm10_chr19-1-20000000 $HOME/i2rda_data/Mapping_to_Reference/Read_1.fastq.gz $HOME/i2rda_data/Mapping_to_Reference/Read_2.fastq.gz | |
− | |||
− | |||
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where: | where: | ||
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--rg-id Lane-1 --rg-sample sample1 --rg-center XYZ --rg-platform Illumina \ | --rg-id Lane-1 --rg-sample sample1 --rg-center XYZ --rg-platform Illumina \ | ||
-G Reference/mm10_chr19-1-20000000_Ensembl.gtf Reference/mm10_chr19-1-20000000 \ | -G Reference/mm10_chr19-1-20000000_Ensembl.gtf Reference/mm10_chr19-1-20000000 \ | ||
− | $HOME/i2rda_data/Mapping_to_Reference/Read_1_q30l50.fastq \ | + | $HOME/i2rda_data/Mapping_to_Reference/Read_1_q30l50.fastq.gz \ |
− | $HOME/i2rda_data/Mapping_to_Reference/Read_2_q30l50.fastq | + | $HOME/i2rda_data/Mapping_to_Reference/Read_2_q30l50.fastq.gz |
Check the output of TopHat2: | Check the output of TopHat2: |
Revision as of 14:52, 7 May 2017
Motivation
Mapping to a reference genome is a vital step to generate counts and do differential gene expression thereafter. For RNA-Seq data it is important to choose an aligner which is splice-aware.
Aims
In this part you will learn to:
- align RNA-Seq reads to a reference genome
- calculate the mapping rate
You will use the following software:
- TopHat2 v2.0.11: http://ccb.jhu.edu/software/tophat/index.shtml
- Bowtie2 v2.2.0: http://bowtie-bio.sourceforge.net/bowtie2/index.shtml
The data set you'll be using is downloaded from ENA (http://www.ebi.ac.uk/ena/data/view/SRP019027). The reads belong to sample SRR769316. The data set is tailored with respect to the time allocated for the exercise.
Indexing
Go to the right folder/directory:
cd $HOME/i2rda_data/Mapping_to_Reference
Index the reference genome using one of the Bowtie2:
cd Reference bowtie2-build mm10_chr19-1-20000000.fa mm10_chr19-1-20000000
Note the "fa" extension for the reference this is due to a preference of tophat which we'll be using below.
Run the alignment using TopHat2:
cd .. tophat -o tophat2 --no-mixed --rg-id Lane-1 --rg-sample sample1 --rg-center XYZ --rg-platform Illumina -G Reference/mm10_chr19-1-20000000_Ensembl.gtf Reference/mm10_chr19-1-20000000 $HOME/i2rda_data/Mapping_to_Reference/Read_1.fastq.gz $HOME/i2rda_data/Mapping_to_Reference/Read_2.fastq.gz
where:
- --no-mixed: For paired reads, only report read alignments if both reads in a pair can be mapped
- --rg-id: Read group ID
- --rg-sample: Sample ID
- --rg-center: Sequencing Centre name
- --rg-platform: Sequencing platform descriptor
- -G: Supply TopHat with a set of gene model annotations and/or known transcripts, as a GTF 2.2 or GFF3 formatted file.
- -o: Output directory
Check the output of TopHat2:
cd tophat2 ls
Get the mapping rate:
cat align_summary.txt
Get the number of reads mapped. Run the alignment of filtered data using TopHat2
cd .. tophat2 -o tophat2_with_filtered_data --no-mixed \ --rg-id Lane-1 --rg-sample sample1 --rg-center XYZ --rg-platform Illumina \ -G Reference/mm10_chr19-1-20000000_Ensembl.gtf Reference/mm10_chr19-1-20000000 \ $HOME/i2rda_data/Mapping_to_Reference/Read_1_q30l50.fastq.gz \ $HOME/i2rda_data/Mapping_to_Reference/Read_2_q30l50.fastq.gz
Check the output of TopHat2:
cd tophat2_with_filtered_data ls
Get the mapping rate:
cat align_summary.txt
Get the number of reads mapped.
- What difference does using the filtered data make?