Mercurial > repos > thondeboer > neat_genreads
view utilities/deprecated/FindNucleotideContextOnReference.healthy.pl @ 2:8a739c944dbf draft
planemo upload commit e96b43f96afce6a7b7dfd4499933aad7d05c955e-dirty
author | thondeboer |
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date | Tue, 15 May 2018 16:22:08 -0400 |
parents | 6e75a84e9338 |
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#!/usr/bin/perl use strict; use Math::Round; if ($#ARGV < 1) { print "parameter mismatch\nTo run type this command:\nperl $0 fastahack reference input_pos_file output_file human_gff_file\n\n"; print " first argument = full path to fastahack\n"; print " second argument = full path to reference genome\n"; print " third argument = input file with arbitrary number of columns, but 1st col=chromosome name and 2nd col=position\n"; print " fourth argument = output file with three columns: chromosome name, position of the center nucleotide, and the thre-nucleotide context for that position\n"; print " fifth argument = full path to human gff file\n\n\n"; exit 1; } my $Fastahack=$ARGV[0]; my $Reference=$ARGV[1]; open(InputPositions, '<', $ARGV[2]) || die("Could not open file!"); open(OutputTrinucleotideContext, '>', $ARGV[3]) || die("Could not open file!"); open(HumanGFF, '<', $ARGV[4]) || die("Could not open file!"); ################ read in one coordinate at a time and execute fastahack on it # reading the header my $head = <InputPositions>; $head =~ s/\n|\r//; print OutputTrinucleotideContext "$head\tContext\n"; my $gffHead = <HumanGFF>; chomp $gffHead; # creating trinucleotide context data hash, insertion and deletion counts my %trinucleotide_context_data; my %context_tally_across_mutated_to; my %gff_hash; my $gffMatch; my %location; # my %genotype_hash; my %insertion_hash; my %deletion_hash; my $insertion_total; my $deletion_total; my $zygotes_total; my %annotation_hash; my $annotation_total; my %exonic_consequence_hash; my $intronic; my $exonic; my $intergenic; # reading the positional information my $line_count = 1; while (<InputPositions>) { $_ =~ s/\n|\r//; #print "$_\n"; my @line = split('\t', $_); # getting the chromosome and coordinate fields from input file # fastahack will need to the chromosome and coordinate to read the information from the reference my $chromosome = $line[0]; my $coordinate = $line[1]; # get coordinates of first and last character in the context my $start_region = $coordinate - 1; my $end_region = $coordinate + 1; # if the coordinate is the very first letter on the chromosome, then do not read before that position # the context becomes 2 letter code, as opposed to a trinucleotide if ( $start_region == 0 ) { $start_region = 1; $end_region = 2; } #print "$Fastahack -r $chromosome:$start_region..$end_region $Reference\n"; my $context = `$Fastahack -r $chromosome:$start_region..$end_region $Reference`; # capitalize context letters $context = uc($context); #### IF USING CONTROLLED DATA, split germline column into germline allele and mutated_to allele # my @germline = split ('/', $line[6]); # if germline allele does not equal reference allele, print "start_region germline allele end_region" # specifically, replace the middle letter of the context with the germline allele #print "$germline[0], $germline[1]\n"; # if ($germline[0] ne $germline[1]) { # print "germline/reference mismatch, line number $line_count\n"; # if ($coordinate != 1) { # substr($context,1,1)= $germline[1]; # } # else { # substr($context,0,1)= $germline[1]; # } # } print OutputTrinucleotideContext "$_\t$context"; ############################### # new section: forming the data structure ############################### # to create N_N contexts for data structure, context_code is defined as the trinucleotide context with a blank middle allele my $context_code=$context; $context_code =~ s/\n|\r//; substr($context_code,1,1) = "_"; # create variables for mutated_from and mutated_to nucleotides my $mutated_from = $line[3]; my $mutated_to = $line[4]; # creating genotype variable from column 10 of VCF my $genotype = $line[9]; # incrementing each genotype # $genotype_hash{$genotype} = $genotype_hash{$genotype} + 1; # splitting heterozygosity by comma, defining heterozygosity total my @zygotes = split (',', $mutated_to); my $zygotes_length = scalar(@zygotes); # identify heterozygosity, choose one at random to use. Count heterozygosity instances if ($zygotes_length > 1) { my $zygotesRand = $zygotes_length*rand(); my $zygotesRound = round($zygotesRand) - 1; $zygotes_total = $zygotes_total + 1; $mutated_to = $zygotes[$zygotesRound]; # print "@zygotes\t$mutated_to\n"; } # print "@zygotes\t$mutated_to\n"; # my $round_rand_test = round(rand()); # print $round_rand_test; # define length of insertions and deletions my $insertion_length; my $deletion_length; if ($mutated_from eq "-") { $insertion_length = length( $mutated_to ); } else { $insertion_length = length( $mutated_to ) - 1; } if ($mutated_to eq "-") { $deletion_length = length( $mutated_from ); } else { $deletion_length = length( $mutated_from ) - 1; } # context_codes are totalled $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to} = $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to} + 1; $context_tally_across_mutated_to{$context_code}{$mutated_from} = $context_tally_across_mutated_to{$context_code}{$mutated_from} + 1; # insertion and deletion lengths are totalled if ($insertion_length > $deletion_length) { $insertion_hash{$insertion_length} = $insertion_hash{$insertion_length} + 1; } if ($deletion_length > $insertion_length) { $deletion_hash{$deletion_length} = $deletion_hash{$deletion_length} + 1; } # total insertions and deletions if ($insertion_length != $deletion_length) { if ($insertion_length > $deletion_length) { $insertion_total = $insertion_total + 1; } elsif ($deletion_length > $insertion_length) { $deletion_total = $deletion_total + 1; } } # Find variant annotation and exonic consequence in ANNOVAR outfile my $annotation = $line[7]; if ( $annotation =~ /Func.refGene=(.{1,30});Gene\.refGene/ ) { # print "$1\n"; $annotation_hash{$1}++; $annotation_total++; } if ( $annotation =~ /ExonicFunc.refGene=(.{1,30});AAChange\.refGene/ ) { # print "$1\n"; $exonic_consequence_hash{$1}++; } if ( $annotation =~ /Func.refGene=.{0,15}intronic\;/ ) { $intronic++; } if ( $annotation !~ /Func.refGene=ncRNA_exonic/ ) { if ( $annotation =~ /Func.refGene=.{0,15}exonic\;/ ) { $exonic++; } } if ( $annotation =~ /Func.refGene=.{0,15}intergenic\;/ ) { $intergenic++; } elsif ( $annotation =~ /Func.refGene=.{0,15}ncRNA_splicing\;/ ) { $intergenic++; } elsif ( $annotation =~ /Func.refGene=.{0,15}upstream\;/ ) { $intergenic++; } elsif ( $annotation =~ /Func.refGene=.{0,15}downstream\;/ ) { $intergenic++; } $location{$coordinate}++; # Reading input gff file, incrementing gff variant region hash # while (<HumanGFF>) { # $_ =~ s/\n|\r//; # my @line = split('\t', $_); # my $region_name = "$line[3]-$line[4]"; # if ($coordinate >= $line[3] && $coordinate <= $line[4]) { # $gff_hash{$region_name}++; # $gffMatch++; # print "$coordinate $region_name\n"; # } # } #print "$region_name, $gff_hash{$region_name}\n"; # to keep track of progress # 1000000 for LARGE dbsnp vcfs, 10000 for smaller vcf/tsv tumor mutation files unless ($line_count%10000) { print "processed $line_count lines\n"; } $line_count++; } # end working through the input file # print total number of mutations my $mutation_total = $line_count; print "Number of Mutations -- $mutation_total\n"; ################### Reading the input gff and creating custom BED file #################### my $gffBED = "vars.bed"; open(my $bed_handle, '>', $gffBED) || die("Could not open file!"); # Print BED file Header print $bed_handle "START\tEND\tVariant_Frequency\n"; # Reading input gff file, incrementing gff variant region hash while (<HumanGFF>) { $_ =~ s/\n|\r//; my @line = split('\t', $_); my $region_name = "$line[3]-$line[4]"; my $region_length = $line[4] - $line[3]; my $region_freq = 0; foreach my $coordinate (sort(keys %location)) { if ($coordinate >= $line[3] && $coordinate <= $line[4]) { $gff_hash{$region_name}++; $gffMatch++; # print "$coordinate $region_name\n"; } } if ($gff_hash{$region_name} == 0) { print $bed_handle "$line[3]\t$line[4]\t$region_freq\n"; } if ($gff_hash{$region_name} > 0) { $region_freq = $gff_hash{$region_name} / $region_length; print $bed_handle "$line[3]\t$line[4]\t$region_freq\n"; print "Region $region_name variant frequency -- $region_freq\n"; print "Total variants in region $region_name -- $gff_hash{$region_name}\n"; } } #print "$region_name, $gff_hash{$region_name}\n"; print "GFF Match -- $gffMatch\n"; ######################### open files for writing ########################## # my $genotype_name = "zygosity.prob"; # open(my $genotype_handle, '>', $genotype_name) || die("Could not open file!"); my $insertion_file_name = "SSM_insLength.prob"; open(my $insertion_prob_handle, '>', $insertion_file_name) || die("Could not open file!"); my $deletion_file_name = "SSM_delLength.prob"; open(my $deletion_prob_handle, '>', $deletion_file_name) || die("Could not open file!"); my $overall_file_name = "SSM_overall.prob"; open(my $overall_prob_handle, '>', $overall_file_name) || die("Could not open file!"); my $heterozygosity_file_name = "heterozygosity.prob"; open(my $heterozygosity_prob_handle, '>', $heterozygosity_file_name) || die("Could not open file!"); my $annotation_file_name = "annofreq.prob"; open(my $annotation_handle, '>', $annotation_file_name) || die("Could not open file!"); my $exonic_con_file_name = "exonic_consequences.prob"; open(my $exonic_con_handle, '>', $exonic_con_file_name) || die("Could not open file!"); my $intronic_file_name = "intronic_vars.prob"; open(my $intronic_handle, '>', $intronic_file_name) || die("Could not open file!"); my $exonic_file_name = "exonic_vars.prob"; open(my $exonic_handle, '>', $exonic_file_name) || die ("Could not open file!"); my $intergenic_file_name = "intergenic_vars.prob"; open(my $intergenic_handle, '>', $intergenic_file_name) || die ("Could not open file!"); ######################### Calculate frequency models ####################### # calculate zygosity ratio frequency, print to file # foreach my $genotype (sort(keys %genotype_hash)) { # my $zygosity_frequency; # $zygosity_frequency = $genotype_hash{$genotype}/$mutation_total; # print $genotype_handle "$genotype\t$zygosity_frequency\n"; # print "Genotype, $genotype -- $genotype_hash{$genotype}\n"; # } # print annotation and exonic consequence frequencies foreach $1 (sort(keys %annotation_hash)) { my $annotation_frequency; $annotation_frequency = $annotation_hash{$1}/$mutation_total; print "$1 -- $annotation_hash{$1}, $annotation_frequency\n"; print $annotation_handle "$1\t$annotation_frequency\n"; } foreach $1 (sort(keys %exonic_consequence_hash)) { my $exonic_con_freq; if ( $1 ne "." ) { $exonic_con_freq = $exonic_consequence_hash{$1}/$mutation_total; print "Exonic Consequence: $1 -- $exonic_consequence_hash{$1}, $exonic_con_freq\n"; print $exonic_con_handle "$1\t$exonic_con_freq\n"; } } # Calculating exonic, intronic, and intergenic frequencies, printing to files my $intronic_freq; my $exonic_freq; my $intergenic_freq; $intronic_freq = $intronic/$mutation_total; $exonic_freq = $exonic/$mutation_total; $intergenic_freq = $intergenic/$mutation_total; print $intronic_handle "$intronic_freq\n"; print $exonic_handle "$exonic_freq\n"; print $intergenic_handle "$intergenic_freq\n"; print "Intronic -- $intronic\nExonic -- $exonic\nIntergenic -- $intergenic\n"; #print "Total Annotations -- $annotation_total\n"; # print overall likelihood file headers print $overall_prob_handle "mutation_type\tprobability\n"; # print insertions and deletion probabilities out of all mutations my $insertion_prob_all = $insertion_total / $mutation_total; my $deletion_prob_all = $deletion_total / $mutation_total; print $overall_prob_handle "insertion\t$insertion_prob_all\ndeletion\t$deletion_prob_all\n"; # print $overall_prob_handle "Deletion Probability -- $deletion_prob_all\n"; # print InDel totals print "Insertions $insertion_total\n"; print "Deletions $deletion_total\n"; # print insertion and deletion headers print $insertion_prob_handle "insertion_length\tprobability\n"; print $deletion_prob_handle "deletion_length\tprobability\n"; # calculate InDel length totals and probability out of total number of insertions/deletions. Print probabilities to file. foreach my $insertion_length (sort(keys %insertion_hash)) { my $insertion_probability; $insertion_probability = $insertion_hash{$insertion_length}/$insertion_total; print $insertion_prob_handle "$insertion_length\t$insertion_probability\n"; # print "Insertion, $insertion_length, total , $insertion_hash{$insertion_length}\n"; } foreach my $deletion_length (sort(keys %deletion_hash)) { my $deletion_probability; $deletion_probability = $deletion_hash{$deletion_length}/$deletion_total; print $deletion_prob_handle "$deletion_length\t$deletion_probability\n"; # print "Deletion, $deletion_length, total, $deletion_hash{$deletion_length}\n"; } # print heterozygosity frequency to file my $zygote_frequency = $zygotes_total / $mutation_total; print $heterozygosity_prob_handle "$zygote_frequency\n"; print "heterozygous alleles -- $zygotes_total\n"; # define nucleotide array my @nucleotides = ("A", "C", "G", "T"); foreach my $nt1 (@nucleotides) { foreach my $nt3 (@nucleotides) { # define the output file name and open it for writing my $trinucleotide_SNP_probability_file_name = "Context".$nt1."-".$nt3.".trinuc"; open(my $trinuc_prob_handle, '>', $trinucleotide_SNP_probability_file_name) || die("Could not open file!"); # print trinucleotide contexts and corresponding totals for every mutated_to nucleotide my $context_code=$nt1."_".$nt3; #foreach my $mutated_from_nucl_key (keys %{ $trinucleotide_context_data{$context_code} }) { foreach my $mutated_from (@nucleotides) { # define the "mutated_to" keys in trinuc context hash # my $mutated_to_nucl_key; # the sum is only across mutated_to, and will be redefined for each mutated_from my $context_sum_across_mutated_to = 0; my $context_sum_across_indel = 0; # print "\nRaw counts for mutated_from $mutated_from \n"; # foreach $mutated_to_nucl_key (keys %{ $trinucleotide_context_data{$context_code}{$mutated_from_nucl_key} }) { foreach my $mutated_to (@nucleotides) { my $mutated_from_length = length( $mutated_from ); my $mutated_to_length = length( $mutated_to ); if ( $mutated_from_length == 1 ) { if ( $mutated_from ne "-" ) { if ( $mutated_to_length == 1 ) { if ( $mutated_to ne "-" ) { # print "$context_code, $mutated_from_nucl_key, $mutated_to_nucl_key -- $trinucleotide_context_data{$context_code}{$mutated_from_nucl_key}{$mutated_to_nucl_key}\n"; $context_sum_across_mutated_to = $context_sum_across_mutated_to + $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}; }# end if statement else { $context_sum_across_indel = $context_sum_across_indel + $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}; }# end else statement }# end if statement else { $context_sum_across_indel = $context_sum_across_indel + $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}; }# end else statement }# end if statement else { $context_sum_across_indel = $context_sum_across_indel + $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}; }# end else statement }# end if statement else { $context_sum_across_indel = $context_sum_across_indel + $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}; }# end else statement # print "$context_code, $mutated_from, $mutated_to-- $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}\n"; }# end of loop over mutated_to # print "\nProbabilities for mutated_from $mutated_from:\n"; foreach my $mutated_to (@nucleotides) { #foreach $mutated_to_nucl_key (keys %{ $trinucleotide_context_data{$context_code}{$mutated_from_nucl_key} }) { my $mutated_from_length = length( $mutated_from); my $mutated_to_length = length( $mutated_to); if ( $mutated_from_length == 1 ) { if ( $mutated_from ne "-" ) { if ( $mutated_to_length == 1 ) { if ( $mutated_to ne "-" ) { my $SNP_probability; if ( $context_sum_across_mutated_to == 0 ) { $SNP_probability = 0; } else { $SNP_probability = $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}/$context_sum_across_mutated_to; } if ( $mutated_to eq "T" ) { print $trinuc_prob_handle "$SNP_probability"; } else { # print "$context_code, $mutated_from, $mutated_to, context_sum_across_mutated_to=$context_sum_across_mutated_to -- $SNP_probability\n"; print $trinuc_prob_handle "$SNP_probability\t"; } }# end of if statement else { my $indel_probability = $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}/$context_sum_across_indel; # print $indel_prob_handle "$context_code, $mutated_from, $mutated_to, context_sum_across_indel=$context_sum_across_indel -- $indel_probability\n"; }# end else statement }# end of if statement else { # my $indel_probability = $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}/$context_sum_across_indel; # print $indel_prob_handle "$context_code, $mutated_from, $mutated_to, context_sum_across_indel=$context_sum_across_indel -- $indel_probability\n"; }# end else statement }# end of if statement else { # my $indel_probability = $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}/$context_sum_across_indel; # print $indel_prob_handle "$context_code, $mutated_from, $mutated_to, context_sum_across_indel=$context_sum_across_indel -- $indel_probability\n"; }# end else statement }# end of if statement else { my $indel_probability; if ( $context_sum_across_indel = 0 ) { $indel_probability = 0; } else { # $indel_probability = $trinucleotide_context_data{$context_code}{$mutated_from}{$mutated_to}/$context_sum_across_indel; # print $indel_prob_handle "$context_code, $mutated_from, $mutated_to, context_sum_across_indel=$context_sum_across_indel -- $indel_probability\n"; } }# end else statement }# end of loop over mutated_to print $trinuc_prob_handle "\n"; }# end of loop over mutated_from # print "\n\n"; }# end loop over nt3 }# end loop over nt1