User:Timothee Flutre/Notebook/Postdoc/2012/05/25: Difference between revisions

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(→‎One-liners with GNU tools: add "sort file with header")
(→‎One-liners with GNU tools: add "get rows from a big file which are also in a small file")
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==One-liners with GNU tools==
==One-liners with GNU tools==


* '''Tutorial''': [http://www.ibm.com/developerworks/aix/library/au-unixtext/index.html Introduction to text manipulation on UNIX-based systems] by Brad Yoes (IBM)
* '''Toolbox''': often available by default on many Linux computers
 
** [https://en.wikipedia.org/wiki/Bash_%28Unix_shell%29 Bash]
 
* '''Toolbox''':
** [http://en.wikipedia.org/wiki/AWK AWK]
** [http://en.wikipedia.org/wiki/AWK AWK]
** grep
** grep
** sed
** sed
** cut
** [https://en.wikipedia.org/wiki/GNU_Core_Utilities GNU coreutils] (head, tail, cut, uniq, sort, tr, ...)
** tr
 
** wc
 
* '''Tutorial''': [http://www.ibm.com/developerworks/aix/library/au-unixtext/index.html Introduction to text manipulation on UNIX-based systems] by Brad Yoes (IBM)




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  $ echo -e "x\ty"; for i in {1..10}; do echo -e $i"\t"$RANDOM; done | (read -r; printf "%s\n" "$REPLY"; sort -k2,2n)
  $ echo -e "x\ty"; for i in {1..10}; do echo -e $i"\t"$RANDOM; done | (read -r; printf "%s\n" "$REPLY"; sort -k2,2n)
* '''Get rows from a big file which are also in a small file''': example of using awk with 2 input files by loading the important information from the small file into an array in memory, then parsing the big file line by line and comparing each with the content of the array
$ echo -e "gene\tsnp\tpvalue\ngene1\tsnp1\t0.002\ngene2\tsnp2\t0.8\ngene2\tsnp3\t0.1" > file_all.txt
$ echo -e "gene1\tsnp1" > file_subset.txt
$ awk 'NR==FNR{a[$1$2]++;next;}{x=$1$2;if(x in a)print $0}' file_subset.txt <(sed 1d file_all.txt)




Revision as of 11:42, 11 October 2013

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One-liners with GNU tools

  • Toolbox: often available by default on many Linux computers



  • Skip a subset of successive lines:
for i in {1..10}; do echo $i; done | sed 3,6d


  • Extract a subset of successive lines:
$ for i in {1..20}; do echo $i; done | sed -n 3,5p


  • Use absolute values:
$ for i in {-5..5}; do echo $i; done | awk 'function abs(x){return (((x < 0.0) ? -x : x) + 0.0)} {print abs($1)}'


  • Extract the best snp per gene:
$ echo -e "gene\tsnp\tpvalue\ng1\ts1\t0.3\ng1\ts2\t0.002\ng2\ts2\t0.7\ng2\ts3\t0.05" > dat.txt
gene    snp     pvalue
g1      s1      0.3
g1      s2      0.002
g2      s2      0.7
g2      s3      0.05

$ cat dat.txt | sed 1d | sort -k1,1 -k3,3 | awk '{print $3"\t"$2"\t"$1}' | uniq -f2
g1      s2      0.002
g2      s3      0.05


  • Loop over pairs:
$ subgroups=("s1" "s2" "s3" "s4"); for i in {0..2}; do let a=$i+1; for j in $(seq $a 3); do s1=${subgroups[$i]}; s2=${subgroups[$j]}; echo $s1 $s2; done; done



$ awk 'BEGIN{RS=">"} {if(NF==0)next; split($0,a,"\n"); printf "@"a[1]"\n"a[2]"\n+\n"; \
for(i=1;i<=length(a[2]);i++)printf "}"; printf"\n"}' probes.fa > probes.fq


  • Sort a file with header line: that is, we don't want the first line to be sorted
$ echo -e "x\ty"; for i in {1..10}; do echo -e $i"\t"$RANDOM; done | (read -r; printf "%s\n" "$REPLY"; sort -k2,2n)


  • Get rows from a big file which are also in a small file: example of using awk with 2 input files by loading the important information from the small file into an array in memory, then parsing the big file line by line and comparing each with the content of the array
$ echo -e "gene\tsnp\tpvalue\ngene1\tsnp1\t0.002\ngene2\tsnp2\t0.8\ngene2\tsnp3\t0.1" > file_all.txt
$ echo -e "gene1\tsnp1" > file_subset.txt
$ awk 'NR==FNR{a[$1$2]++;next;}{x=$1$2;if(x in a)print $0}' file_subset.txt <(sed 1d file_all.txt)



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