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TRaCE.pl
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#!/usr/bin/env perl
use strict;
use warnings;
use autodie;
use Data::Dumper;
my ($gene_models_file, $interproscan_output, $MIN_TPM, $MIN_EVI_COVERAGE, $MIN_REF_COVERAGE, $MAX_AED, @stringtie_files) = @ARGV;
@stringtie_files or die "usage: $0 gff interproscan_txt minTPM(0.5) min_evi_cov(0.5) min_ref_cov(0.5) max_aed(0.5) stringtie_files\n";
print STDERR "parsing gene models\n";
my $models = parseGFF($gene_models_file);
print STDERR "loading interproscan results\n";
my $domains = parse_interproscan($interproscan_output);
print STDERR "loading stringtie files\n";
my %samples;
for my $gtf (@stringtie_files) {
if ($gtf =~ m/(\S+)\.gtf$/) {
print STDERR "$1\n";
$samples{$1} = parseStringtie($gtf);
}
}
print STDERR "sorting gene models\n";
for my $chr (sort keys %$models) {
for my $strand (sort keys %{$models->{$chr}}) {
my @mod_genes = sort {$a->{start} <=> $b->{start}} @{$models->{$chr}{$strand}};
print STDERR "measuring overlaps of ",scalar @mod_genes," genes from $chr on $strand strand with ",scalar @stringtie_files," samples\n";
for my $sample (keys %samples) {
my $evidence = $samples{$sample};
my @evi_genes = ();
if ($evidence->{$chr} and $evidence->{$chr}{$strand}) {
@evi_genes = sort {$a->{start} <=> $b->{start}} @{$evidence->{$chr}{$strand}};
}
score_overlaps(\@mod_genes, \@evi_genes, $sample);
}
print STDERR "ranking transcripts\n";
for my $gene (@mod_genes) {
my $winners = rank_transcripts($gene, $domains);
for (my $i=0;$i<@$winners;$i++) {
my $tid = $winners->[$i];
my $tr = $gene->{transcripts}{$tid};
print join("\t",$gene->{gene_id}, $tid, $i+1, $tr->{len}, $tr->{cds}, $tr->{domain}, map {$tr->{AED}{$_}} sort keys %{$tr->{AED}}),"\n";
}
}
}
}
print STDERR "done\n";
sub rank_transcripts {
my ($gene, $domains) = @_;
my @candidates = keys %{$gene->{transcripts}};
# gather transcripts with AEDs below MAX_AED cutoff for each sample
my %aeds;
for my $tid (@candidates) {
my $tr = $gene->{transcripts}{$tid};
$tr->{domain} = $domains->{$tid} || 0;
for my $sample (keys %{$tr->{AED}}) {
if ($tr->{AED}{$sample} <= $MAX_AED) {
exists $aeds{$sample} or $aeds{$sample} = [];
push @{$aeds{$sample}}, {
tid => $tid,
aed => $tr->{AED}{$sample}
}
}
}
}
# rank transcript candidates for each voting sample
my %rank;
my $nVotingSamples = scalar keys %aeds;
my %metricWeight = (domain => 3, cds => 2, len => 1, sample => $nVotingSamples ? 6/$nVotingSamples : 6);
for my $sample (keys %aeds) {
my @sorted = sort {$a->{aed} <=> $b->{aed}} grep {$_->{aed} <= $MAX_AED} @{$aeds{$sample}};
my $prevAED = -1;
my $rank_i=0;
for my $ta (@sorted) {
if ($ta->{aed} > $prevAED) { # candidates with same AED get the same rank
$prevAED = $ta->{aed};
$rank_i++;
}
$rank{$sample}{$ta->{tid}} = $rank_i;
}
}
# rank candidate transcripts by length criteria
for my $metric (qw(domain cds len)) {
my @sorted_by_length = sort {$gene->{transcripts}{$b}{$metric} <=> $gene->{transcripts}{$a}{$metric}} @candidates;
my $length_rank=0;
my $prev = {domain => 999999, cds => 999999, len => 999999};
for my $tid (@sorted_by_length) {
my $tr = $gene->{transcripts}{$tid};
if ($tr->{$metric} < $prev->{$metric}) { # candidates with same length get the same rank
$prev = $tr;
$length_rank++;
}
$rank{$metric . "_length"}{$tid} = $length_rank;
}
}
# elect winners until only one candidate remains
my @winners;
my $nTranscripts = @candidates;
while (@candidates > 1) {
my %votes; # grouped by rank
for my $voter (keys %rank) {
# sort candidates by rank
my @ranked = sort {$rank{$voter}{$a} <=> $rank{$voter}{$b}} keys %{$rank{$voter}};
@ranked or next;
# determine weight for this voter
my $weightedVote = $metricWeight{sample};
if ($voter =~ m/(.+)_length/) {
$weightedVote = $metricWeight{$1};
}
my $prevRank = $rank{$voter}{$ranked[0]}-1; # initialize to 1 less than min rank
my $pri=$prevRank-1;
for my $tid (@ranked) {
if ($rank{$voter}{$tid} > $prevRank) {
$pri++;
$prevRank = $rank{$voter}{$tid};
}
$votes{$pri}{$tid} ||= 0;
$votes{$pri}{$tid} += $weightedVote;
}
}
# sort 1st choice, 2nd choice, 3rd choice, etc. candidates by votes while there is a tie for first place
my $round = 0; # round 0 is first choice candidates
my %inTheRunning;
for my $tid (@candidates) {
$inTheRunning{$tid}=1;
}
my $leader;
my $maxRounds = scalar keys %votes;
while (keys %inTheRunning > 1 and $round < $maxRounds) {
my @sort_by_votes = sort {$votes{$round}{$b} <=> $votes{$round}{$a}} grep {exists $votes{$round}{$_}} keys %inTheRunning;
if (@sort_by_votes) {
%inTheRunning = ();
$leader = shift @sort_by_votes;
$inTheRunning{$leader} = 1;
for my $tid (@sort_by_votes) {
last if ($votes{$round}{$tid} < $votes{$round}{$leader});
$inTheRunning{$tid}=1;
}
}
$round++;
}
my @results = sort keys %inTheRunning; # because there could be a tie, in theory
my $winner = shift @results;
push @winners, $winner;
# remove winner from consideration
for my $voter (keys %rank) {
delete $rank{$voter}{$winner} if exists $rank{$voter}{$winner};
}
@candidates = keys %{$rank{len_length}};
}
# output last candidate
push @winners, shift @candidates;
return \@winners;
}
sub parseGFF {
my $filename = shift;
my %span;
my %transcripts; # key is gene_id value is hash ref with key transcript_id
my %genes; # keys are {chr}{strand} values are gene_ids
my %g2t;
open (my $fh, "<", $filename);
while (<$fh>) {
next if (/^#/);
chomp;
my ($chr,$method,$type,$start,$end,$score,$strand,$idk,$attr_string) = split /\t/, $_;
$chr =~ s/^chr//;
my %attr;
for my $kv (split /;/, $attr_string) {
my ($k, $v) = split /=/, $kv;
if ($k eq '_QI') {
$attr{$k} = split /\|/, $v;
}
elsif ($k eq 'Dbxref' or $k eq 'Ontology_term') {
$attr{$k} = split /,/, $v;
}
else {
$v =~ s/^gene://;
$v =~ s/^transcript://;
$attr{$k} = $v;
}
}
if ($type eq 'gene') {
next unless $attr{biotype} eq 'protein_coding';
$span{$attr{ID}} = [$start,$end];
if (not exists $genes{$chr}{$strand}) {
$genes{$chr}{$strand} = [];
}
push @{$genes{$chr}{$strand}}, $attr{ID};
}
if ($type eq 'mRNA') {
my $transcript_id = $attr{ID};
my $gene_id = $attr{Parent};
if (not exists $transcripts{$transcript_id}) {
$transcripts{$transcript_id} = {exons=>[],len=>0, cds=>0};
}
$transcripts{$transcript_id}{attr} = \%attr;
$g2t{$gene_id}{$transcript_id} = $transcripts{$transcript_id};
}
if ($type eq 'exon') {
for my $transcript_id (split /,/, $attr{Parent}) {
if (not exists $transcripts{$transcript_id}) {
next;
$transcripts{$transcript_id} = {exons=>[],len=>0, cds=>0};
}
push @{$transcripts{$transcript_id}{exons}}, [$start,$end];
$transcripts{$transcript_id}{len} += $end - $start + 1;
}
}
if ($type eq 'CDS') {
my $transcript_id = $attr{Parent};
$transcripts{$transcript_id}{cds} += $end - $start + 1;
}
}
close $fh;
# sort genes by span
for my $chr (keys %genes) {
for my $strand (keys %{$genes{$chr}}) {
for (my $i = 0; $i<@{$genes{$chr}{$strand}}; $i++) {
my $gene_id = $genes{$chr}{$strand}[$i];
$genes{$chr}{$strand}[$i] = {
gene_id => $gene_id,
start => $span{$gene_id}[0],
end => $span{$gene_id}[1],
transcripts => $g2t{$gene_id}
};
}
}
}
return \%genes;
}
sub parseStringtie {
my $filename = shift;
my %span; # key is gene_id
my %transcripts; # key is gene_id value is hash ref with key transcript_id
my %genes; # keys are {chr}{strand} values are gene_ids
open (my $fh, "<", $filename);
while (<$fh>) {
next if (/^#/);
chomp;
my ($chr,$method,$type,$start,$end,$score,$strand,$idk,$attribute_string) = split /\t/, $_;
$chr =~ s/^chr//;
my ($gene_id, $transcript_id) = $attribute_string =~ m/gene_id\s+"(\S+)";\s+transcript_id\s+"(\S+)";/;
my ($tpm) = $attribute_string =~ m/;\sTPM\s"(\S+)";/;
if ($type eq 'transcript') {
$transcripts{$gene_id}{$transcript_id} = {exons=>[],len=>0};
if ($tpm) {
$transcripts{$gene_id}{$transcript_id}{tpm} = $tpm;
}
if (not exists $span{$gene_id}) {
$span{$gene_id} = [$start,$end];
if (not exists $genes{$chr}{$strand}) {
$genes{$chr}{$strand} = [];
}
push @{$genes{$chr}{$strand}}, $gene_id;
}
}
if ($type eq 'exon') {
if (@{$transcripts{$gene_id}{$transcript_id}{exons}}
and $start < $transcripts{$gene_id}{$transcript_id}{exons}[0][0]) {
unshift @{$transcripts{$gene_id}{$transcript_id}{exons}}, [$start,$end];
}
else {
push @{$transcripts{$gene_id}{$transcript_id}{exons}}, [$start,$end];
}
$transcripts{$gene_id}{$transcript_id}{len} += $end - $start + 1;
if ($start < $span{$gene_id}[0]) {
$span{$gene_id}[0] = $start;
}
if ($end > $span{$gene_id}[1]) {
$span{$gene_id}[1] = $end;
}
}
}
close $fh;
# sort genes by span
for my $chr (keys %genes) {
for my $strand (keys %{$genes{$chr}}) {
for (my $i = 0; $i<@{$genes{$chr}{$strand}}; $i++) {
my $gene_id = $genes{$chr}{$strand}[$i];
$genes{$chr}{$strand}[$i] = {
gene_id => $gene_id,
start => $span{$gene_id}[0],
end => $span{$gene_id}[1],
transcripts => $transcripts{$gene_id}
};
}
}
}
return \%genes;
}
sub score_overlaps {
my ($ref, $evi, $sample) = @_;
# ref and evi are references to sorted arrays of genes
# each gene has the fields: gene_id, start, end, and transcripts
# transcripts is a hashref with transcript_id keys and fields: length and exons
# exons is a [start,end]
# iterate over the ref genes and the evi genes
# when a pair of genes overlaps by at least threshold percent
# calculate a scoring matrix for the transcripts of the ref gene vs the transcripts of the evi gene
my %minDist;
my %maxTPMDist;
my $evi_offset = 0;
my $evi_length = @$evi;
for (my $ref_offset = 0; $ref_offset < @$ref; $ref_offset++) {
# initialize distances for each transcript
my @transcripts = sort keys %{$ref->[$ref_offset]{transcripts}};
for my $ref_tid (@transcripts) {
$ref->[$ref_offset]{transcripts}{$ref_tid}{AED}{$sample} = [];
}
while ($evi_offset < $evi_length - 1
and $evi->[$evi_offset]{end} < $ref->[$ref_offset]{start}) {
$evi_offset++;
}
my $evi_first = $evi_offset;
while ($evi_offset < $evi_length
and $evi->[$evi_offset]{end} > $ref->[$ref_offset]{start}
and $evi->[$evi_offset]{start} < $ref->[$ref_offset]{end}) {
# genes overlap
my $aed = score_transcripts($ref->[$ref_offset], $evi->[$evi_offset]);
for my $ref_tid (@transcripts) {
if (exists $aed->{$ref_tid}) {
push @{$ref->[$ref_offset]{transcripts}{$ref_tid}{AED}{$sample}}, $aed->{$ref_tid};
}
}
$evi_offset++;
}
$evi_offset = $evi_first;
# average the AEDs we just calculated
for my $ref_tid (@transcripts) {
my @aeds = @{$ref->[$ref_offset]{transcripts}{$ref_tid}{AED}{$sample}};
if (@aeds) {
my $sum=0;
for my $aed (@aeds) {
$sum += $aed;
}
$ref->[$ref_offset]{transcripts}{$ref_tid}{AED}{$sample} = $sum / scalar @aeds;
}
else {
$ref->[$ref_offset]{transcripts}{$ref_tid}{AED}{$sample} = 1;
}
}
}
}
sub score_transcripts {
my ($ref, $evi, $maxTPMDist) = @_;
# find the dominant transcript, measure the overlap, possibly trim the ref transcript
my @sort_by_tpm = sort {$evi->{transcripts}{$b}{tpm} <=> $evi->{transcripts}{$a}{tpm}} grep {
$evi->{transcripts}{$_}{tpm} >= $MIN_TPM
} keys %{$evi->{transcripts}};
return {} unless @sort_by_tpm;
my $maxTPM_tid = $sort_by_tpm[0];
my $evi_transcript = $evi->{transcripts}{$maxTPM_tid};
my $evi_start = $evi_transcript->{exons}[0][0];
my $evi_end = $evi_transcript->{exons}[-1][1];
my %myAED;
for my $ref_tid (sort keys %{$ref->{transcripts}}) {
my $ref_transcript = $ref->{transcripts}{$ref_tid};
my $ref_start = $ref_transcript->{exons}[0][0];
my $ref_end = $ref_transcript->{exons}[-1][1];
if (@{$ref_transcript->{exons}[0]} == 0) {
print STDERR "no exons in $ref_tid\n";
next;
}
my $exon_overlap = measure_overlap($ref_transcript->{exons}, $evi_transcript->{exons});
if ($exon_overlap/$evi_transcript->{len} > $MIN_EVI_COVERAGE
&& $exon_overlap/$ref_transcript->{len} > $MIN_REF_COVERAGE) {
my $adjusted_ref_len = $ref_transcript->{len};
my $adjusted_evi_len = $evi_transcript->{len};
if ($ref_start < $evi_start) {
$adjusted_ref_len -= measure_overlap($ref_transcript->{exons}, [[$ref_start,$evi_start-1]]);
}
if ($ref_start > $evi_start) {
$adjusted_evi_len -= measure_overlap($evi_transcript->{exons}, [[$evi_start-1,$ref_start-1]])
}
if ($ref_end > $evi_end) {
$adjusted_ref_len -= measure_overlap($ref_transcript->{exons}, [[$evi_end+1, $ref_end]]);
}
if ($ref_end < $evi_end) {
$adjusted_evi_len -= measure_overlap($evi_transcript->{exons}, [[$ref_end+1, $evi_end]]);
}
if ($adjusted_ref_len <= 0) {
die "$ref_tid adjusted_ref_len $adjusted_ref_len <= 0\n";
}
if ($adjusted_evi_len <= 0) {
die "$ref_tid adjusted_evi_len $adjusted_evi_len <= 0\n";
}
my $D = 1 - ($exon_overlap/$adjusted_ref_len + $exon_overlap/$adjusted_evi_len)/2;
$myAED{$ref_tid} = $D;
}
}
return \%myAED;
}
sub measure_overlap {
my ($t1, $t2) = @_;
my %edges;
for my $exon (@$t1, @$t2) {
my ($start, $end) = @$exon;
$edges{$start} = exists $edges{$start} ? $edges{$start}+1 : 1;
$edges{$end} = exists $edges{$end} ? $edges{$end}-1 : -1;
}
my $depth = 0;
my $since = 0;
my $overlap = 0;
for my $pos (sort {$a <=> $b} keys %edges) {
$depth += $edges{$pos};
if ($depth == 2) {
$since = $pos;
}
elsif ($since > 0) {
$overlap += $pos - $since + 1;
$since = 0;
}
}
return $overlap;
}
sub parse_interproscan {
my $ipr_file = shift;
my %domains;
open (my $fh, "<", $ipr_file);
while (<$fh>) {
chomp;
my ($tid,$x,$len,$db,$id,$desc,$start,$end,$score,$t,$date,$ipr,$desc2,$go) = split /\t/, $_;
if ($ipr) {
$tid =~ s/_P/_T/;
$start--;
exists $domains{$tid}{$start} or $domains{$tid}{$start} = 0;
exists $domains{$tid}{$end} or $domains{$tid}{$end} = 0;
$domains{$tid}{$start}++;
$domains{$tid}{$end}--;
}
}
close $fh;
for my $tid (keys %domains) {
my $depth=0;
my $len=0;
my $start=0;
for my $pos (sort {$a <=> $b} keys %{$domains{$tid}}) {
if ($depth == 0) {
# beginning of span
$start = $pos;
}
$depth += $domains{$tid}{$pos};
if ($depth == 0) {
# end of span
$len += $pos - $start;
}
}
$domains{$tid} = $len;
}
return \%domains;
}