/usr/bin/vcf-contrast is in vcftools 0.1.15-1.
This file is owned by root:root, with mode 0o755.
The actual contents of the file can be viewed below.
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#
# Author: petr.danecek@sanger
#
use strict;
use warnings;
use Carp;
use Vcf;
my $opts = parse_params();
query_vcf($opts);
exit;
#--------------------------------
sub error
{
my (@msg) = @_;
if ( scalar @msg ) { confess @msg; }
print
"About: Finds differences amongst samples adding NOVELGT, NOVELAL and NOVELTY annotations to INFO field.\n",
" Note that haploid genotypes are internally treated as homozygous diploid genotypes, therefore\n",
" \"0/1\" and \"1\" are considered different genotypes.\n",
"Usage: vcf-contrast +<list> -<list> [OPTIONS] file.vcf.gz\n",
"Options:\n",
" +<list> List of samples where unique variant is expected\n",
" -<list> List of background samples\n",
" -d, --min-DP <int> Minimum depth across all -<list> samples\n",
" -f, --apply-filters Skip sites with FILTER column different from PASS or \".\"\n",
" -n, --novel-sites Print only records with novel genotypes\n",
" -h, -?, --help This help message.\n",
"Example:\n",
" # Test if any of the samples A,B is different from all C,D,E\n",
" vcf-contrast +A,B -C,D,E -m file.vcf.gz\n",
"\n",
" # Same as above but printing only sites with novel variants and table output\n",
" vcf-contrast -n +A,B -C,D,E -m file.vcf.gz | vcf-query -f '\%CHROM \%POS\\t\%INFO/NOVELTY\\t\%INFO/NOVELAL\\t\%INFO/NOVELGT[\\t\%SAMPLE \%GTR \%PL]\\n'\n",
"\n",
" # Similar to above but require minimum mapping quality of 20\n",
" vcf-annotate -f MinMQ=20 file.vcf.gz | vcf-contrast +A,B,C -D,E,F -f\n",
"\n";
exit -1;
}
sub parse_params
{
$0 =~ s{^.+/}{}; $0 .= "($Vcf::VERSION)";
my $opts = { args=>[$0, @ARGV], };
while (defined(my $arg=shift(@ARGV)))
{
if ( -e $arg ) { $$opts{vcf}=$arg; next }
if ( $arg eq '-?' || $arg eq '-h' || $arg eq '--help' ) { error(); }
if ( $arg eq '-d' || $arg eq '--min-DP' ) { $$opts{min_dp}=shift(@ARGV); next; }
if ( $arg eq '-n' || $arg eq '--novel-sites' ) { $$opts{novel_only}=1; next; }
if ( $arg eq '-f' || $arg eq '--apply-filters' ) { $$opts{apply_filters}=1; next; }
if ( $arg=~/^\+/ && !exists($$opts{var_samples}) ) { @{$$opts{var_samples}}=split(/,/,$'); next }
if ( $arg=~/^-/ && !exists($$opts{bg_samples}) ) { @{$$opts{bg_samples}}=split(/,/,$'); next }
error("Unknown parameter \"$arg\". Run -h for help.\n");
}
if ( !exists($$opts{var_samples}) ) { error("Missing the list of variant samples (+<list>).\n") }
if ( !exists($$opts{bg_samples}) ) { error("Missing the list of background samples (-<list>).\n") }
return $opts;
}
sub init_columns
{
my ($vcf,@samples) = @_;
my @out;
for my $sample (@samples)
{
push @out, $vcf->get_column_index($sample);
}
return \@out;
}
sub query_vcf
{
my ($opts) = @_;
my $vcf = exists($$opts{vcf}) ? Vcf->new(file=>$$opts{vcf}) : Vcf->new(fh=>\*STDIN);
$vcf->parse_header;
$vcf->add_header_line({key=>'INFO',ID=>'NOVELAL',Number=>'.',Type=>'String',Description=>'List of samples with novel alleles'});
$vcf->add_header_line({key=>'INFO',ID=>'NOVELGT',Number=>'.',Type=>'String',Description=>'List of samples with novel genotypes'});
$vcf->add_header_line({key=>'INFO',ID=>'NOVELTY',Number=>'1',Type=>'Integer',Description=>'vcf-contrast novelty score'});
$vcf->add_header_line({key=>'source',value=>join(' ',@{$$opts{args}})},append=>'timestamp');
print $vcf->format_header();
$$opts{var_cols} = init_columns($vcf,@{$$opts{var_samples}});
$$opts{bg_cols} = init_columns($vcf,@{$$opts{bg_samples}});
while (my $rec=$vcf->next_data_array)
{
if ( $$opts{apply_filters} && $$rec[6] ne '.' && $$rec[6] ne 'PASS' ) { next; }
if ( $$rec[4] eq '.' ) { next; }
my $ipl = $vcf->get_tag_index($$rec[8],'PL',':');
my ($novel,$novelal,$novelgt) = contrast($opts,$vcf,$rec);
if ( $novel )
{
my %info = ( NOVELTY=>$novel );
if ( scalar keys %$novelal )
{
my @tmp; for my $col (keys %$novelal) { push @tmp, $$vcf{columns}[$col]; }
$info{NOVELAL} = join(',',@tmp);
}
elsif ( scalar keys %$novelgt )
{
my @tmp; for my $col (keys %$novelgt) { push @tmp, $$vcf{columns}[$col]; }
$info{NOVELGT} = join(',',@tmp);
}
$$rec[7]=$vcf->add_info_field($$rec[7],%info);
}
elsif ( $$opts{novel_only} ) { next; }
print $vcf->format_line($rec);
}
}
sub contrast
{
my ($opts,$vcf,$rec) = @_;
my $ipl = $vcf->get_tag_index($$rec[8],'PL',':');
my $has_PL = $ipl<0 ? 0 : 1;
my $igt;
if ( !$has_PL )
{
$igt = $vcf->get_tag_index($$rec[8],'GT',':');
if ( $igt<0 ) { error("GT not available: $$rec[0]:$$rec[1]\n"); }
}
my $idp;
if ( exists($$opts{min_dp}) )
{
$idp = $vcf->get_tag_index($$rec[8],'DP',':');
if ( $idp<0 ) { error("todo: DP not available"); }
}
my @x = split(/,/, $$rec[4]);
my $n_als = 1 + scalar @x;
my (@bg_pls, @bg_als, @bg_gts, @var_pls,@var_gts, $min_dp);
for my $bg_col (@{$$opts{bg_cols}})
{
if ( defined $idp )
{
my $dp = $vcf->get_field($$rec[$bg_col],$idp);
if ( !defined $min_dp or $min_dp>$dp ) { $min_dp=$dp; }
}
my @gt;
if ( $has_PL )
{
my $pl = $vcf->get_field($$rec[$bg_col],$ipl);
($pl, @gt) = likely_gt($pl, $n_als);
push @bg_pls, $pl;
}
else
{
my $gt = $vcf->get_field($$rec[$bg_col],$igt);
@gt = $vcf->split_gt($gt);
}
push @bg_als, \@gt;
push @bg_gts, join('/',sort(@gt));
}
if ( defined $min_dp && $min_dp<$$opts{min_dp} ) { return undef; }
my %novel_gt;
my %novel_al;
my $min_score;
for my $var_col (@{$$opts{var_cols}})
{
my (@var_als,$var_pl);
if ( $has_PL )
{
$var_pl = $vcf->get_field($$rec[$var_col],$ipl);
($var_pl,@var_als) = likely_gt($var_pl, $n_als);
@var_als = sort @var_als;
push @var_pls, $var_pl;
}
else
{
my $gt = $vcf->get_field($$rec[$var_col],$igt);
@var_als = sort($vcf->split_gt($gt));
}
my $var_gt = join('/',sort(@var_als));
push @var_gts, $var_gt;
my $bg_score;
my %als;
for (my $i=0; $i<@{$$opts{bg_cols}}; $i++)
{
my $score;
if ( $has_PL )
{
if ( $var_pls[0] eq '.' or substr($bg_pls[$i],0,1) eq '.' ) { next; }
$score = same_pls($var_pl, $bg_pls[$i]);
}
else
{
if ( $var_als[0] eq '.' or $bg_als[$i][0] eq '.' ) { next; }
$score = same_gts(\@var_als, $bg_als[$i]);
}
if ( !defined $bg_score or $score<$bg_score ) { $bg_score = $score; }
for my $al (@{$bg_als[$i]}) { $als{$al} = 1; }
if ( $var_gt ne $bg_gts[$i] ) { $novel_gt{$var_col} = 1; }
}
if ( !$bg_score ) { next; }
if ( !defined $min_score or $min_score>$bg_score ) { $min_score = $bg_score; }
for my $al (@var_als)
{
if ( !exists($als{$al}) ) { $novel_al{$var_col} = 1; }
}
}
if ( !$min_score ) { return undef; }
if ( !scalar keys %novel_gt && !scalar keys %novel_al ) { return undef; }
return ($min_score,\%novel_al,\%novel_gt);
}
sub likely_gt
{
my ($pl, $nals) = @_;
my @pls = split(/,/,$pl);
my ($min,$imin,$jmin);
if ( $nals==@pls )
{
# haploid: treat as fake diploid
my @out_pls;
$min = $pls[0];
$imin = 0;
for (my $i=1; $i<@pls; $i++)
{
if ( $min>$pls[$i] ) { $min = $pls[$i]; $imin = $i; }
}
for (my $i=0; $i<$nals; $i++)
{
for (my $j=0; $j<$i; $j++) { push @out_pls,255; }
push @out_pls, $pls[$i];
}
return (join(',',@out_pls), $imin,$imin);
}
# diploid
my $idx=0;
my $i = 0;
while ($idx<@pls)
{
if ( $pls[$idx] eq '.' ) { return '.'; }
for (my $j=0; $j<=$i; $j++)
{
if ( $idx>=@pls ) { error("Unexpected number of PL values with n_als=$nals: $pl\n"); }
if ( !defined $min or $min>$pls[$idx] ) { $min=$pls[$idx]; $imin=$i; $jmin=$j; }
$idx++;
}
$i++;
}
return ($pl,$jmin,$imin);
}
sub same_pls
{
my ($pla,$plb) = @_;
my @pla = split(/,/,$pla);
my @plb = split(/,/,$plb);
my $min;
my $imin;
for (my $i=0; $i<@pla; $i++)
{
if ( !defined $min or $pla[$i]+$plb[$i]<$min ) { $min=$pla[$i]+$plb[$i]; $imin=$i; }
}
return $min;
}
sub same_gts
{
my ($gta,$gtb) = @_;
if ( @$gta != @$gtb ) { return 255; }
for (my $i=0; $i<@$gta; $i++)
{
if ( $$gta[$i] ne $$gtb[$i] ) { return 255; }
}
return 0;
}
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