| Previous changeset 18:12ba8fbec776 (2017-03-29) |
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Commit message:
Uploaded |
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added:
compStrains.pl |
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| diff -r 12ba8fbec776 -r 8ea6bb9da985 compStrains.pl --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/compStrains.pl Wed Mar 29 18:04:58 2017 -0400 |
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| @@ -0,0 +1,175 @@ +#!/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 + + +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 ($input1,$input2,$out,$sortkey,$round,$l1,$l2,$cfile); +GetOptions( +'o:s' =>\$out, +'s:i' => \$sortkey, +'r:i'=> \$round, +'l1:s'=> \$l1, +'l2:s'=> \$l2, +'c:s'=> \$cfile, +'input1:s'=>\$input1, +'input2:s'=>\$input2 +); + + +#THE @files ARRAY WILL CONTAIN INPUT FILE NAMES +my @files=($input1,$input2); + +#GET LABELS: +my @labels = ($l1,$l2); + +sub cleaner{ + my $line=$_[0]; + chomp($line); + $line =~ s/\x0d{0,1}\x0a{0,1}\Z//s; + return $line; +} + + +#CHECK IF REQ. VARIABLES WERE DEFINED USING FLAGS. IF NOT THEN USE DEFAULT VALUES +if (!$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]; #get rid of blank columns +for (my $j=0;$j<scalar @cols;$j++){ + $cols[$j]=cleaner($cols[$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 6 columns (Ones about blanks aren't needed for comparisons) + @info=@info[0,1,2,3,4,5]; + #Sometimes genes that don't have a gene name can't be blank, so fill with NA + if (!$info[5]){ + $info[5]=""; + } + + $one{$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]; #get rid of blank columns +for (my $j=0;$j<scalar @cols;$j++){ + $cols[$j]=cleaner($cols[$j]).'-'.$labels[1]; #mark each column name with file it comes from +} +push (@header,@cols); + +while (my $line=<F2>){ + $line = cleaner($line); + my @info=split(",",$line); + @info=@info[0,1,2,3,4,5]; + if (!$info[5]){ + $info[5]=""; + } + + $two{$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>){ + $line = cleaner($line); + my @genes=split("\t",$line); #Array @genes will contain two genes (SP_0000,SPT_0000) + if (scalar @genes==2 and (exists $one{$genes[0]}) and (exists $two{$genes[1]})){ + my @info; + my @oneArray=@{$one{$genes[0]}}; + my @twoArray=@{$two{$genes[1]}}; + push (@info,@oneArray,@twoArray); + # Fitness values at index 1 and 7 + my $diff=sprintf("$round",($info[1]-$info[7])); + my $total1=$info[2]; + my $total2=$info[8]; + if (!$info[3] or $info[3] eq ""){$info[3]="NA"}; + if (!$info[4] or $info[4] eq ""){$info[4]="NA"}; + if (!$info[9] or $info[9] eq ""){$info[9]="NA"}; + if (!$info[10] or $info[10] eq ""){$info[10]="NA"}; + my $sd1=$info[3]; + my $se1=$info[4]; + my $sd2=$info[9]; + my $se2=$info[10]; + my $df=$total1+$total2-2; + my ($tdist,$pval); + #TDIST, PVAL calculations with fail if standard dev, error, or counts are not real numbers + #or if 0 ends up in denominator + if ($sd1 eq "NA" or $sd2 eq "NA" 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=12; #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, '>',"$out"; +print OUT (join(',',@header),"\n"); +foreach (@sorted){ + my @comparison=@{$_}; + print OUT join(',',@comparison),"\n"; + } + +close OUT; + + |