Mercurial > repos > antmarge > compstrains
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author | antmarge |
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date | Tue, 28 Mar 2017 22:17:30 -0400 |
parents | c6f89f3e813c |
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#!/usr/bin/perl -w #Margaret Antonio 16.01.13 #DESCRIPTION: Takes two aggregate.pl outputs and compares them using mean difference, pval for each #gene. Can compare, for example, 19F in glucose and TIGR4 in glucose. #DIFFERENT GENOMES (ie. diff. strains). #Requires CONVERSION FILE #USAGE: perl compStrains.pl -c <conversion.csv> <options> #[<aggregateFile1.csv aggregateFile2.csv> OR -indir <indir/>] use Data::Dumper; use strict; use Getopt::Long; use warnings; use File::Path; use File::Basename; use Statistics::Distributions; #ASSIGN INPUTS TO VARIABLES USING FLAGS our ($indir,$h,$out,$sortkey,$round,$l,$cfile); GetOptions( 'd:s' => \$indir, 'h' => \$h, 'o:s' =>\$out, 's:i' => \$sortkey, 'r:i'=> \$round, 'l1:s'=> \$l1, 'l2:s'=> \$l2, 'c:s'=> \$cfile, ); sub print_usage() { print "\n"; print "\n##################################################################\n"; print "compStrains.pl: compare genes from a tn-seq experiment\n"; print "\tfor two DIFFERENT strains/genomes using aggregate files\n"; print "\nDESCRIPTION: Takes two aggregate.pl outputs and compares them by\n"; print "calculating the difference in mean fitness.\n"; print "Example: two strains tested under same condition.\n"; print "Note: For same strains (genomes), use compGenes.pl\n"; print "\nUSAGE:\n"; print "perl compStrains.pl -c conversion.csv -d inputs/\n"; print "\nREQUIRED:\n"; print " -d\tDirectory containing all input files (files from\n"; print " \taggregate fitness script)\n"; print " \tOR\n"; print " \tIn the command line (without a flag), input the name(s) of\n"; print " \ttwo files containing aggregate gene fitness values. \n\n"; print " -c\tConversion file: two columns with homologs for both organisms\n"; print "\nOPTIONAL:\n"; print " -h\tPrints usage and exits program\n"; print " -o\tOutput file for comparison data. Default: label1label2.csv\n"; print " -s\tSort output by this index of the file (indices begin at 0).\n"; print " \tDefault: by mean\n"; print " -r\tRound final output numbers to this number of decimals\n"; print " -l\tLabels for input files. Default: filenames\n"; print " \tTwo strings, comma separated (i.e. -l expt1,expt2).\n"; print " \tOrder should match file order.\n"; print " \n~~~~Always check that file paths are correctly specified~~~~\n"; print "\n##################################################################\n"; } if ($h){ print_usage(); exit; } if (!$indir and (scalar @ARGV==0)){ print "\nERROR: Please correctly specify input files or directory\n"; print_usage(); print "\n"; exit; } if (!$cfile){ print "\nERROR: Please correctly specify the required conversion file\n"; print_usage(); print "\n"; exit; } #THE @files ARRAY WILL CONTAIN INPUT FILE NAMES, EXTRACTED FROM A DIRECTORY (-indir) OR ARGV my @files; if ($indir){ my $directory="$indir"; opendir(DIR, $directory) or (print "Couldn't open $directory: $!\n" and print_usage() and exit); my @direct= readdir DIR; my $tail=".csv"; foreach (@direct){ if (index($_, $tail) != -1){ $_=$indir.$_; push (@files,$_); } } closedir DIR; } else{ @files=@ARGV; } #GET LABELS: USE (-l) OR USE FILNEAMES AS LABELS FOR COLUMNS IN OUTPUT FILE my @labels; my @labels = ($l1,$l2); #if ($l){ # @labels=split(',',$l); #} #else{ # foreach (@files){ # my $filename=basename($_); # my @temp=split('\\.',$filename); # my $colName=$temp[0]; # push (@labels,$colName); } } #CHECK IF REQ. VARIABLES WERE DEFINED USING FLAGS. IF NOT THEN USE DEFAULT VALUES if (!$out) {$out="comp.".$labels[0].$labels[1].".csv"} if (!$round){$round='%.4f'} #OPEN INPUTTED AGGREGATE GENE FILES AND STORE THEIR CONTENTS INTO TWO HASHES #FILE1 GOES INTO HASH %ONE AND FILE2 GOES INTO HASH %TWO. #FILE1 OPENING ---> %one WHERE KEY:VALUE IS GENE_ID:(GENE_ID,INSERTIONS,MEAN,ETC.) my @header; my %one; open (F1,'<',$files[0]); #STORE COLUMN NAMES (FIRST LINE OF FILE1) FOR HEADER AND APPEND LABELS my $head=<F1>; #the header in the file my @cols=split(',',$head); @cols=@cols[0,1,2,3,4,5,6]; #get rid of blank columns for (my $j=0;$j<scalar @cols;$j++){ $cols[$j]=$cols[$j].'-'.$labels[0]; #mark each column name with file it comes from } push (@header,@cols); while (my $line=<F1>){ chomp $line; my @info=split(",",$line); #Only keep the first 7 columns (Ones about blanks aren't needed for comparisons) @info=@info[0,1,2,3,4,5,6]; #Sometimes genes that don't have a gene name can't be blank, so fill with NA if (!$info[5]){ $info[5]="NA"; } #If there are no insertions in the column "total", then make it =0 rather than blank if (!$info[6]){ $info[6]=0; } $one{$info[0]}=\@info; } close F1; #FILE2 OPENING ---> %two WHERE KEY:VALUE IS GENE_ID:(GENE_ID,INSERTIONS,MEAN,ETC.) my %two; open (F2,'<',$files[1]); #STORE COLUMN NAMES (FIRST LINE OF FILE2) FOR HEADER AND APPEND LABELS $head=<F2>; #the header in the file @cols=split(',',$head); @cols=@cols[0,1,2,3,4,5,6]; #get rid of blank columns for (my $j=0;$j<scalar @cols;$j++){ $cols[$j]=$cols[$j].'-'.$labels[1]; #mark each column name with file it comes from } push (@header,@cols); while (my $line=<F2>){ chomp $line; my @info=split(",",$line); @info=@info[0,1,2,3,4,5,6]; if (!$info[5]){ $info[5]="NA"; } if (!$info[6]){ $info[6]=0; } $two{$info[0]}=\@info; } close F2; #READ CONVERSION FILE INTO ARRAY. #Conversion file must have strain 1 for file 1 in column 1 (index 0) and #strain 2 for file 2 in column 2 (index 1) #conversion file must be tab delimited with no NA fields #If homologs (exist then take info from hashes (%one and %two) by referring to gene_id in KEY my @all; #store all homologs in this hash open (CONV,'<',$cfile); while (my $line=<CONV>){ chomp $line; my @genes=split("\t",$line); #Array @genes will contain two genes (SP_0000,SPT_0000) if (scalar @genes==2 and $genes[0] ne "" and $genes[1] ne ""){ my @info; my @oneArray=@{$one{$genes[0]}}; my @twoArray=@{$two{$genes[1]}}; push (@info,@oneArray,@twoArray); my $diff=sprintf("$round",($info[1]-$info[8])); my $total1=$info[6]; my $total2=$info[13]; my $sd1=$info[3]; my $se1=$info[4]; my $sd2=$info[10]; my $se2=$info[11]; my $df=$total1+$total2-2; my $tdist; my $pval; #TDIST, PVAL calculations with fail if standard dev, error, or counts are not real numbers #or if 0 ends up in denominator if ($se1 eq "X" or $se2 eq "X" or $sd1 eq "X" or $sd2 eq "X" or $total1==0 or $total2==0 or $sd1==0 or $sd2==0){ ($tdist,$pval)=("NA","NA"); } else{ $tdist=sqrt((($diff)/(sqrt((($sd1**2)/$total1)+(($sd2**2)/$total2))))**2); $pval=Statistics::Distributions::tprob($df,$tdist); } push (@info,$diff,$df,$tdist,$pval); push (@all,\@info); } } close CONV; #SORT THE HOMOLOGS BY THE SORTKEY OR BY DEFAULT DIFFERENCE IN MEAN FITNESSES if (!$sortkey){ $sortkey=14; #for mean difference } my @sorted = sort { $b->[$sortkey] <=> $a->[$sortkey] } @all; #FINISH THE HEADER BY ADDING COLUMN NAMES FOR MEAN-DIFF, DOF, TDIST, AND PVALUE my $field="MeanDiff(".$labels[0].'.'.$labels[1].")"; push (@header,$field,"DOF","TDIST","PVALUE"); #PRINT MATCHED HOMOLOG INFORMATION INTO A SINGLE OUTPUT FILE open OUT, '>',"$out"; print OUT (join(',',@header),"\n"); foreach (@sorted){ my @woo=@{$_}; print OUT join(',',@woo),"\n"; } close OUT;