One-liners

Introduction

Within command-line usage, there is a common situation whereby a single command-line starts to become quite complicated, and can take quite a while to build up.

In bioinformatics, one is often forced into this situation as many of the tools have quite complicated options and parameter settings.

It also is the usual mode of building simple for loops that can turn out to be quite powerful.

Examples

Renaming multiple files

There are various way of doing this. Here we have a complicated situation where we have made a filelisting and copied it, and manicured the names in the copy, and now want to rename each file in the original to its corresponding manicured version. The key difficulty is getting the right corresponding name in the manicured list. Here follows one such example

for i in $(cat lst0); do j=${i#*_}; R=$(printf "%s_\\w\\+_R%s\n" ${i%%_*} ${j%.*}); mv $i $(grep $R lst); done

Explanation

• lst0 is the original filelisting
• lst is the manicured filelisting
• here we lean heavily ob bash's formatted print statement to generate a regular expression which should be designed to guarantee a unique entry in the manicured filelisting.

One-liners featuring awk

You have a genome coverage file in bedgraph format (final, fourth column is the coverage for a particular section) amd would like to find the max value:

awk '{if($4>mxc) mxc=$4} END {print mxc}' v30chronly_s.cov

A genome coverage file what is the average coverage per base?

awk '{tot=tot+$4/($3-$2); la=$3} END {print tot/la}' v30chronly_s.cov

Note how in the above, for la (last), we want the third column on the last line which is the endpoint, but we don't know when it will occur so the third column on all lines get assigned to this variable. This will not do if there is more than one chromosome.