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convert_cnv.pl
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convert_cnv.pl
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#!/usr/bin/env perl
use warnings;
use strict;
use Carp;
use Pod::Usage;
use Getopt::Long;
our $VERSION = '$Revision: bbb13c8a31de6a6e9a1e71ca347a7d02a855a27b $';
our $LAST_CHANGED_DATE = '$LastChangedDate: 2011-06-16 22:13:39 -0700 (Thu, 16 Jun 2011) $';
our ($verbose, $help, $man);
our ($intype, $outtype, $output, $snplocfile, $canarydeffile, $oncosnpqcfile);
our ($cnvfile);
GetOptions ('verbose|v'=>\$verbose, 'help|h'=>\$help, 'man|m'=>\$man, 'intype=s'=>\$intype, 'outtype=s'=>\$outtype, 'output=s'=>\$output,
'snplocfile=s'=>\$snplocfile, 'canarydeffile=s'=>\$canarydeffile, 'oncosnpqcfile=s'=>\$oncosnpqcfile) or pod2usage ();
$help and pod2usage (-verbose=>1, -exitval=>1, -output=>\*STDOUT);
$man and pod2usage (-verbose=>2, -exitval=>1, -output=>\*STDOUT);
@ARGV or pod2usage (-verbose=>0, -exitval=>1, -output=>\*STDOUT);
@ARGV == 1 or pod2usage ("Syntax error: <inputfile> missing");
($cnvfile) = @ARGV;
$intype or print STDERR "NOTICE: the --intype argument is set as 'penncnv' by default\n" and $intype = 'penncnv';
$outtype or print STDERR "NOTICE: the --outtype argument is set as 'tab' by default\n" and $outtype = 'tab';
$intype eq $outtype and pod2usage ("Error in argument: the --intype ($intype) cannot be identical to --outtype ($outtype)");
$intype =~ m/^(penncnv|tab|xml|birdseye|birdsmerge|canary|oncosnp)$/ or pod2usage ("Error in argument: the --intype argument can be only 'penncnv' or 'tab' or 'birdseye' or 'birdsmerge' or 'canary' or 'oncosnp' at this time");
$outtype =~ m/(penncnv|tab)$/ or pod2usage ("Error in argument: the --outtype argument can be only 'penncnv' or 'tab' at this time");
if ($output) {
open (STDOUT, ">$output") or confess "Error: cannot write to output file $output: $!\n";
}
our $infh;
if ($cnvfile eq 'stdin') {
$infh = *STDIN;
} else {
open ($infh, $cnvfile) or confess "Error: cannot read from input CNV file $cnvfile: $!\n";
}
if ($snplocfile) {
$intype eq 'xml' or $intype eq 'birdseye' or $intype eq 'birdsmerge' or $intype eq 'canary' or pod2usage ("Error in argument: the --snplocfile is useful only for --intype of xml or birdseye or birdsmerge or canary");
}
if ($intype eq 'penncnv') {
if ($outtype eq 'tab') {
convertPennCNVToTab ($infh);
} else {
pod2usage ("Error: the --outtype $outtype is not supported for the --intype $intype");
}
} elsif ($intype eq 'tab') {
if ($outtype eq 'penncnv') {
convertTabToPennCNV ($infh);
} else {
pod2usage ("Error: the --outtype $outtype is not supported for the --intype $intype");
}
} elsif ($intype eq 'birdseye') {
if ($outtype eq 'penncnv') {
convertBirdseyeToPennCNV ($infh, $snplocfile);
} else {
pod2usage ("Error: the --outtype $outtype is not supported for the --intype $intype");
}
} elsif ($intype eq 'birdsmerge') {
if ($outtype eq 'penncnv') {
convertBirdsmergeToPennCNV ($infh, $snplocfile);
} else {
pod2usage ("Error: the --outtype $outtype is not supported for the --intype $intype");
}
} elsif ($intype eq 'canary') {
$canarydeffile or pos2usage ("Error: please specify the --canarydeffile argument");
if ($outtype eq 'penncnv') {
convertCanaryToPennCNV ($infh, $canarydeffile);
} else {
pod2usage ("Error: the --outtype $outtype is not supported for the --intype $intype");
}
} elsif ($intype eq 'xml') {
if ($outtype eq 'penncnv') {
convertXMLToPennCNV ($infh, $snplocfile);
} else {
pod2usage ("Error: the --outtype $outtype is not supported for the --intype $intype");
}
} elsif ($intype eq 'oncosnp') {
my $qcresult;
$oncosnpqcfile and $qcresult = readOncosnpQC ($oncosnpqcfile);
if ($outtype eq 'penncnv') {
convertOncosnpToPennCNV ($infh, $qcresult);
} elsif ($outtype eq 'tab') {
convertOncosnpToTab ($infh, $qcresult);
} else {
pod2usage ("Error: the --outtype $outtype is not supported for the --intype $intype");
}
}
sub readOncosnpQC {
my ($oncosnpqcfile) = @_;
my (%qcresult);
my (@alpha, @lrr_shift, @ll, $index);
open (FH, $oncosnpqcfile) or die "Error: cannot read from oncosnpqcfile $oncosnpqcfile: $!\n";
while (<FH>) {
if (m/Outlier Rate:\s+(\S+)$/) {
$qcresult{outlier} = $1;
} elsif (m/^Std\. Dev\. LRR:\s+(\S+)$/) {
$qcresult{lrr_sd} = $1;
} elsif (m/^Std\. Dev\. BAF:\s+(\S+)$/) {
$qcresult{baf_sd} = $1;
} elsif (m/^Stromal Contamination:\s+(\S+)\s+(\S+)\s*(\S+?)/) {
@alpha = ($1, $2, $3);
} elsif (m/^Log R Ratio Baseline Shift:\s+(\S+)\s+(\S+)\s*(\S+?)/) {
@lrr_shift = ($1, $2, $3);
} elsif (m/^Log-likelihood:\s+(\S+)\s+(\S+)\s*(\S+?)/) {
@ll = ($1, $2, $3);
}
}
if ($ll[0]<$ll[1]) {
$index = 1;
} else {
$index = 0;
}
if (@ll==3 and $ll[$index] < $ll[2]) {
$index = 2;
}
$qcresult{stromal} = $alpha[$index];
$qcresult{lrr_shift} = $lrr_shift[$index];
$qcresult{ll} = $ll[$index];
defined $qcresult{stromal} or die "Error: stromal contamination not found in oncosnpqc file\n";
$verbose and print STDERR "NOTICE: LRR shift values are $lrr_shift[$index] for $oncosnpqcfile\n";
return (\%qcresult);
}
sub printPennCNVFormat {
my ($chr, $start, $end, $cn, $sample, $startsnp, $endsnp, $conf, $numsnp, $state) = @_;
my $cnvregion = "chr$chr:$start-$end";
if (length ($cnvregion) < 29) {
$cnvregion = substr ("$cnvregion ", 0, 29);
}
if (length($numsnp) < 6) {
$numsnp = substr ("$numsnp ", 0, 6);
}
my $cnvlength = join ('', reverse split (//, $end-$start+1)); $cnvlength =~ s/(...)/$1,/g; $cnvlength =~ s/,$//; $cnvlength = join ('', reverse split (//, $cnvlength));
if (length($cnvlength) < 11) {
$cnvlength = substr ("$cnvlength ", 0, 11);
}
if (not defined $state) {
$state=$cn+1; $cn>=2 and $state++;
}
print "$cnvregion numsnp=$numsnp length=$cnvlength state$state,cn=$cn $sample startsnp=$startsnp endsnp=$endsnp";
$conf ne 'NA' and print " conf=$conf";
print "\n";
}
sub convertBirdseyeToPennCNV {
my ($fh, $snplocfile) = @_;
$verbose and print STDERR "NOTICE: Converting Birdseye CNV calls to PennCNV format\n";
my ($pos_name);
if ($snplocfile) {
$pos_name = readSNPLocFile ($snplocfile);
}
$_ = <$fh>;
s/[\r\n]+$//;
$_ =~ m/^sample\tsample_index\tcopy_number\tchr\tstart\tend\tper_probe_score\tsize\tnum_probes\tlod_score/ or confess "Error: invalid first line in the Birdeye call file: <$_>\n";
my $count_nonautosome = 0;
while (<$fh>) {
s/[\r\n]+$//;
my @field = split (/\t/, $_);
@field == 10 or confess "Error: invalid record found in Birdeye call file (10 tab-delimited fields expected): <$_>\n";
my ($sample, $index, $cn, $chr, $start, $end, $perprobescore, $length, $numsnp, $conf) = @field;
my ($startsnp, $endsnp) = ("NA", "NA");
unless ($chr =~ m/^\d+$/ and $chr>=1 and $chr <= 22) {
$count_nonautosome++;
next;
}
if ($snplocfile) {
$startsnp = $pos_name->{$chr, $start} || 'NA';
$endsnp = $pos_name->{$chr, $end} || 'NA';
}
if ($chr =~ m/^\d+$/) {
if ($chr >= 1 and $chr <= 22) {
$cn eq '2' and next;
}
}
printPennCNVFormat ($chr, $start, $end, $cn, $sample, $startsnp, $endsnp, $conf, $numsnp);
}
$count_nonautosome and print STDERR "WARNING: Total of $count_nonautosome non-autosome CNV calls are skipped for conversion\n";
}
sub convertOncosnpToPennCNV {
my ($fh, $qcresult) = @_;
$verbose and print STDERR "NOTICE: Converting Birdseye CNV calls to PennCNV format\n";
$_ = <$fh>;
s/[\r\n]+$//;
$_ =~ m#^Chromosome\tStart Position \(bp\)\tEnd Position \(bp\)\tLength / Mb# or confess "Error: invalid first line in the Oncosnp call file: <$_>\n";
my @field = split (/\t/, $_);
@field >= 32 or confess "Error: invalid record found in Oncosnp call file (at least 8 tab-delimited fields expected): <$_>\n";
my $version;
if ($field[10] eq 'Max. Log BF') {
$version = 1.0;
} elsif ($field[10] eq '% Normal') {
$version = 1.1;
} else {
die "Error: unable to identify Oncosnp version from inputfile\n";
}
my $count_nonautosome = 0;
while (<$fh>) {
s/[\r\n]+$//;
my @field = split (/\t/, $_);
@field >= 32 or die "Error: invalid record found in Oncosnp call file (at least 8 tab-delimited fields expected): <$_>\n";
my ($chr, $start, $end, $length, $startsnp, $endsnp, $numsnp, $cn, $loh, $state, $percent_norm, $conf) = @field;
$version == 1.0 and $conf = $percent_norm;
$start += 0; #convert string to number
$end += 0; #convert string to number
$length = $end-$start+1; #the length in the inputfile is calculated in Mb and is not precise
my $sample = $cnvfile;
$conf >= 10 or next;
printPennCNVFormat ($chr, $start, $end, $cn, $sample, $startsnp, $endsnp, $conf, $numsnp, $state);
}
$count_nonautosome and print STDERR "WARNING: Total of $count_nonautosome non-autosome CNV calls are skipped for conversion\n";
}
sub convertOncosnpToTab {
my ($fh, $qcresult) = @_;
$verbose and print STDERR "NOTICE: Converting Birdseye CNV calls to PennCNV format\n";
$_ = <$fh>;
s/[\r\n]+$//;
$_ =~ m#^Chromosome\tStart Position \(bp\)\tEnd Position \(bp\)\tLength / Mb# or die "Error: invalid first line in the Oncosnp call file: <$_>\n";
my @field = split (/\t/, $_);
@field >= 32 or confess "Error: invalid record found in Oncosnp call file (at least 8 tab-delimited fields expected): <$_>\n";
my $version;
if ($field[10] eq 'Max. Log BF') {
$version = 1.0;
$qcresult->{stromal} or die "Error: oncosnp 1.0 output file detected. Please specify --oncosnpqc argument\n";
} elsif ($field[10] eq '% Normal') {
$version = 1.1;
} else {
die "Error: unable to identify Oncosnp version from inputfile\n";
}
print STDOUT "chr start end state cn sample snp1 snp2 alpha\n";
my $count_nonautosome = 0;
while (<$fh>) {
s/[\r\n]+$//;
my @field = split (/\t/, $_);
@field >= 32 or confess "Error: invalid record found in Oncosnp call file (at least 8 tab-delimited fields expected): <$_>\n";
my ($chr, $start, $end, $length, $startsnp, $endsnp, $numsnp, $cn, $loh, $state, $percent_norm, $conf) = @field;
$version == 1.0 and $conf = $percent_norm;
$start += 0; #convert string to number
$end += 0; #convert string to number
$length = $end-$start+1; #the length in the inputfile is calculated in Mb and is not precise
my $sample = $cnvfile;
$conf >= 10 or next;
if ($version == 1.0) {
print STDOUT join ("\t", $chr, $start, $end, $state, $cn, $sample, $startsnp, $endsnp, $qcresult->{stromal}), "\n";
} elsif ($version == 1.1) {
print STDOUT join ("\t", $chr, $start, $end, $state, $cn, $sample, $startsnp, $endsnp, $percent_norm), "\n";
}
}
$count_nonautosome and print STDERR "WARNING: Total of $count_nonautosome non-autosome CNV calls are skipped for conversion\n";
}
sub convertBirdsmergeToPennCNV {
my ($fh, $snplocfile) = @_;
$verbose and print STDERR "NOTICE: Converting Birdseye CNV calls to PennCNV format\n";
my ($pos_name);
if ($snplocfile) {
$pos_name = readSNPLocFile ($snplocfile);
}
$_ = <$fh>;
$_ =~ m/^sample\tsample_index\tcopy_number\tchr\tstart\tend\tconfidence/ or confess "Error: invalid first line in the Birdmerge call file: <$_>\n";
my $count_nonautosome = 0;
while (<$fh>) {
s/[\r\n]+$//;
my @field = split (/\t/, $_);
@field == 7 or confess "Error: invalid record found in Birdsmerge call file (7 tab-delimited fields expected): <$_>\n";
my ($sample, $index, $cn, $chr, $start, $end, $conf) = @field;
my ($startsnp, $endsnp) = ("NA", "NA");
unless ($chr =~ m/^\d+$/ and $chr>=1 and $chr <= 22) {
$count_nonautosome++;
next;
}
if ($snplocfile) {
$startsnp = $pos_name->{$chr, $start} || 'NA';
$endsnp = $pos_name->{$chr, $end} || 'NA';
}
if ($chr =~ m/^\d+$/) {
if ($chr >= 1 and $chr <= 22) {
$cn eq '2' and next;
}
}
printPennCNVFormat ($chr, $start, $end, $cn, $sample, $startsnp, $endsnp, $conf, 0);
}
$count_nonautosome and print STDERR "WARNING: Total of $count_nonautosome non-autosome CNV calls are skipped for conversion\n";
print STDERR "WARNING: the numsnp field is set as 0 for all calls, since Birdsmerge output does not contain such information\n";
}
sub convertCanaryToPennCNV {
my ($fh, $canarydeffile) = @_;
$verbose and print STDERR "NOTICE: Converting Canary CNV calls to PennCNV format\n";
my (%loc);
open (DEF, $canarydeffile) or confess "Error: cannot read from canarydeffile: $!\n";
$_ = <DEF>;
s/[\r\n]+$//;
m/^cnp_id\tchr\tstart\tend/ or confess "Error: invalid header line found in the canarydeffile ('cnp_id chr start end' expected): <$_>\n";
while (<DEF>) {
s/[\r\n]+$//;
my @field = split (/\s+/, $_);
$loc{$field[0]} = [$field[1], $field[2], $field[3]];
}
$_ = <$fh>;
s/[\r\n]+$//;
$_ =~ m/^cnp_id\t(.+)/ or confess "Error: invalid first line in the Canary call file: <$_>\n";
my @sampleid = split (/\t/, $1);
print STDERR "NOTICE: A total of ", scalar (@sampleid), " samples are included in the Canary file\n";
my $count_nonautosome = 0;
while (<$fh>) {
s/[\r\n]+$//;
my @field = split (/\t/, $_);
@field == @sampleid+1 or confess "Error: invalid record found in Canary call file (expect to see ${\(scalar @sampleid)} CNV calls per line): <$_>\n";
my ($cnpid, @cn) = @field;
my ($startsnp, $endsnp) = ("NA", "NA");
my ($conf) = ("NA");
my ($chr, $start, $end) = @{$loc{$cnpid}};
unless ($chr =~ m/^\d+$/ and $chr>=1 and $chr <= 22) {
$count_nonautosome++;
next;
}
for my $i (1 .. @field-1) {
my $cn = $field[$i];
if ($chr =~ m/^\d+$/) {
if ($chr >= 1 and $chr <= 22) {
$cn eq '2' and next;
}
}
printPennCNVFormat ($chr, $start, $end, $cn, $sampleid[$i-1], $startsnp, $endsnp, $conf, 0);
}
}
$count_nonautosome and print STDERR "WARNING: Total of $count_nonautosome non-autosome CNV calls are skipped for conversion\n";
print STDERR "WARNING: the numsnp field is set as 0 for all calls, since Canary output does not contain such information\n";
}
sub convertTabToPennCNV {
my ($infh) = @_;
$verbose and print STDERR "NOTICE: Converting tab-delimited CNV calls to PennCNV format\n";
while (<$infh>) {
s/[\r\n]+$//;
my @record = split (/\t/, $_);
@record == 9 or confess "Error: invalid record found in tab-delimited CNV file (9 fields expected): <$_>\n";
my ($chr, $start, $end, $cn, $sample, $startsnp, $endsnp, $conf, $numsnp) = @record;
printPennCNVFormat ($chr, $start, $end, $cn, $sample, $startsnp, $endsnp, $conf, $numsnp);
}
}
sub convertPennCNVToTab {
my ($infh) = @_;
$verbose and print STDERR "NOTICE: converting the CNV call file $cnvfile to tab-delimited format (Chr, Start, End, CN, Sample, StartSNP, EndSNP, Conf, NumSNP)\n";
my $skipped_line;
while (<$infh>) {
if (m/^chr((\w+):(\d+)-(\d+))\s+numsnp=(\d+)\s+length=([\d\,]+)\s+state\d+,cn=(\d+)\s+(.+?)\s+startsnp=(\S+)\s+endsnp=(\S+)/) {
print $2, "\t", $3, "\t", $4, "\t", $7, "\t", $8, "\t", $9, "\t", $10;
my $numsnp = $5;
if (m/conf=(\S+)/) {
print "\t$1";
} else {
print "\tNA";
}
print "\t$numsnp\n";
} else {
$skipped_line++;
}
}
$skipped_line and print STDERR "WARNING: $skipped_line lines in $cnvfile are skipped due to unrecognizable format\n";
}
sub convertXMLToPennCNV {
my ($infh, $snplocfile) = @_;
$verbose and print STDERR "NOTICE: Converting XML-formatted CNV calls (exported from BeadStudio/GenomeStudio) to PennCNV format\n";
my $pos_name;
$_ = <$infh>;
defined $_ or confess "Error: cannot read anything from input\n";
s/[\r\n]+$//;
m/^<Project_Bookmarks>/ or confess "Error: invalid first line in XML file (<Project_Bookmarks> expected): <$_>\n";
if ($snplocfile) {
$pos_name = readSNPLocFile ($snplocfile);
}
my $countline = 0;
while (<$infh>) {
$countline++;
if (m/^\s*<bookmark>/) {
my ($sample_id, $chr_num, $cn, $base_start_pos, $base_end_pos, $conf);
my ($startsnp, $endsnp) = qw/NA NA/;
while (<$infh>) {
if (m#^\s*<sample_id>(\S+)\s*\[\d+\]</sample_id>#) {
$sample_id = $1;
} elsif (m#\s*<bookmark_type>CNV Bin: Min (\S+) To Max (\S+)</bookmark_type>#) {
$cn = int(($1+$2)/2);
} elsif (m#^\s*<chr_num>(\w+)</chr_num>#) {
$chr_num = $1;
} elsif (m#^\s*<base_start_pos>(\d+)</base_start_pos>#) {
$base_start_pos = $1;
} elsif (m#^\s*<base_end_pos>(\d+)</base_end_pos>#) {
$base_end_pos = $1;
} elsif (m/CNV Confidence: (\S+)/) {
$conf = $1;
} elsif (m/^\s*<bookmark>/) {
confess "Error: Reading a new Bookmark before finished reading the previous one at line $countline\n";
}
if (defined $sample_id and defined $chr_num and defined $base_start_pos and defined $base_end_pos and defined $conf) {
if ($snplocfile) {
$startsnp = $pos_name->{$chr_num, $base_start_pos} || 'NA';
$endsnp = $pos_name->{$chr_num, $base_end_pos} || 'NA';
}
printPennCNVFormat ($chr_num, $base_start_pos, $base_end_pos, $cn, $sample_id, $startsnp, $endsnp, $conf, 0);
last;
}
}
}
}
}
sub readSNPLocFile {
my ($snplocfile) = @_;
my (%pos_name);
my ($header, $header_seg, $lrr_index, $pos_index, $chr_index, $name_index);
open (SIG, $snplocfile) or confess "Error: cannot read from SNPLOC file $snplocfile: $!\n";
$header = <SIG>;
$header =~ m/(.+)Pos/ or confess "error: the header line of $snplocfile does not contain Pos annotation";
$header_seg = $1;
$pos_index = ($header_seg =~ tr/\t/\t/+0);
$header =~ m/(.+)Chr/ or confess "error: the header file of $snplocfile does not contain Chr annotation";
$header_seg = $1;
$chr_index = ($header_seg =~ tr/\t/\t/+0);
$header =~ m/(.*)Name/ or confess "error: the header file of $snplocfile does not contain Name annotation";
$header_seg = $1;
$name_index = ($header_seg =~ tr/\t/\t/+0);
while (<SIG>) {
s/[\r\n]+$//;
my @record = split (/\t/, $_);
my ($curname, $curchr, $curpos) = @record[$name_index, $chr_index, $pos_index];
$pos_name{$curchr, $curpos} = $curname;
}
close (SIG);
return (\%pos_name);
}
=head1 SYNOPSIS
convert_cnv.pl [arguments] <cnvfile>
Optional arguments:
-v, --verbose use verbose output
-h, --help print help message
-m, --man print complete documentation
--intype <string> input file format (default: penncnv)
--outtype <strong> output file format (default: tab)
--output <file> specify output file name (default: STDOUT)
--snplocfile <file> file annotating SNP locations (for Birdseye/XML format)
--canarydeffile <file> file containing CNP locations (for Canary calls)
Function: convert formats between CNV calls generated from different
programs/algorithms
Example: convert_cnv.pl -intype penncnv -outtype tab ex1.rawcnv > ex1.tabcnv
convert_cnv.pl -intype birdseye -outtype penncnv -output ex1.penncnv -snploc gw6.hg18.pfb ex1.birdcnv
convert_cnv.pl -intype xml -outtype penncnv ex1.xml > ex1.penncnv
convert_cnv.pl -intype canary -outtype penncnv -canarydef GenomeWideSNP_6.hg18.cnv_defs case.canary_calls
convert_cnv.pl -intype oncosnp -outtype penncnv input.cnv > output.penncnv
Version: $LastChangedDate: 2011-06-16 22:13:39 -0700 (Thu, 16 Jun 2011) $
=head1 OPTIONS
=over 8
=item B<--help>
print a brief help message and exit
=item B<--man>
print the complete manual of how to use the program
=item B<--verbose>
use verbose output
=item B<--intype>
the input type can be penncnv, tab, xml (exported from BeadStudio/GenomeStudio), birdseye, canary
=item B<--outtype>
the outtype can be penncnv and tab.
=item B<--output>
specify the output file name (default: STDOUT)
=item B<--snplocfile>
specify a file that annotate chromosome coordinates for SNPs. This is useful for
converting birdseye calls since the output does not give marker names.
=item B<--snplocfile>
specify a file that annotate chromosome coordinates for CNPs for Canary calls.
The four tab-delimited fields are CNP ID, Chr, Start and End.
=back
=head1 DESCRIPTION
This program is used to convert copy number variation (CNV) calls between
different formats. Currently, the input format includes penncnv, tab (penncnv-
specific tab output), xml (generated from BeadStudio/GenomeStudio) or birdseye.
Various software tools have been developed in recent years to generate CNV calls
from various sources of data, while the basic information in CNV calls from each
software is generally similar: usually the chromosome position is given, the
input file name is given, the start and end marker names are given, and the
confidence score for each CNV call is given. This program operates on these
specific fields and convert the file formats to facilitate comparative analysis.
For example, it can convert the PennCNV calls to tab-delimited formats to be
loaded into Excel or other software that operates on tab-delimited data; it can
also convert CNV calls generated by other software to PennCNV format, so that
the compare_cnv.pl program can be used to perform comparative analysis on CNV
call concordance.
=head2 PennCNV format
The PennCNV output format is a simple text format with one CNV call per line. An
example is given below:
chr3:37957465-37961253 numsnp=3 length=3,789 state2,cn=1 father.txt startsnp=rs9837352 endsnp=rs9844203 conf=15.133
chr3:75511365-75650909 numsnp=7 length=139,545 state2,cn=1 father.txt startsnp=rs4677005 endsnp=rs2004089 conf=26.862
chr11:81181640-81194909 numsnp=9 length=13,270 state2,cn=1 father.txt startsnp=rs7947005 endsnp=rs12293984 conf=35.083
chr20:10440279-10511908 numsnp=10 length=71,630 state2,cn=1 father.txt startsnp=rs8114269 endsnp=rs682562 conf=39.410
chr11:55127597-55204003 numsnp=11 length=76,407 state2,cn=1 mother.txt startsnp=rs2456022 endsnp=rs7934845 conf=23.106
The fields are chromosome coordinates, the number of markers (SNPs or CN
markers), the length of the CNV call, the copy number (CN) estimate, the signal
file name, the start marker, the end marker and the confidence score for CNV call.
=head2 Tab format
The Tab output format is a penncnv-specific format that cooresponds to the
same fields in PennCNV output, albeit being tab-delimited. An example is given
below:
3 37957465 37961253 1 father.txt rs9837352 rs9844203 15.133 3
3 75511365 75650909 1 father.txt rs4677005 rs2004089 26.862 7
11 81181640 81194909 1 father.txt rs7947005 rs12293984 35.083 9
20 10440279 10511908 1 father.txt rs8114269 rs682562 39.410 10
11 55127597 55204003 1 mother.txt rs2456022 rs7934845 23.106 11
=head2 XML format
The XML format refers to a specific format exported from the Illumina
BeadStudio/GenomeStudio software. An example of the first a few lines and part
of the file are given below:
<Project_Bookmarks>
<Version>2.0.0</Version>
<Name>PennCNV 2009Aug27</Name>
<Author></Author>
<Comment><![CDATA[ ]]></Comment>
<CreateDate>8/26/2009 5:14:38 PM</CreateDate>
<Algorithm></Algorithm>
...........
...........
...........
<bookmark>
<sample_id>99HI0697A [1]</sample_id>
<bookmark_type>CNV Bin: Min 0.5 To Max 1.5</bookmark_type>
<entry_date>5:14:38 PM</entry_date>
<chr_num>2</chr_num>
<base_start_pos>242565979</base_start_pos>
<base_end_pos>242656041</base_end_pos>
<author></author>
<value>1</value>
<comment>
<![CDATA[ CNV Confidence: 52.304 ]]>
</comment>
</bookmark>
Note that the start and end marker information is not provided in the XML output
file. Therefore, one must use the --snplocfile argument to supply this
information, otherwise the marker will be annotated as NA.
=head2 Birdseye format
This format is a birdseye-specific tab-delimited format generated by the
BirdSuite software. The columns are sample, sample_index, copy_number, chr,
start, end, per_probe_score, size, num_probes, lod_score, respectively. Similar
to the XML format above, since the marker name is not annotaed in the file, one
must use --snplocfile to supply this information. Additionally, since the
birdseye file contain both CNV information as well as normal copy information,
only the autosomal CNVs will be converted. (For sex chromosome CNVs, there is no
way to tell whether it is a real CNV or not, based on CN estimate only, in the
Birdseye output)
=head2 Birdmerge format
This format is used to represent that merged calls from Birdseye and
Canary output files. The columns are sample, sample_index, copy_number, chr,
start, end, confidence, respectively. Since the marker name is not annotaed in
the file, one must use --snplocfile to supply this information. Additionally,
since the birdseye file contain both CNV information as well as normal copy
information, only the autosomal CNVs will be converted. (For sex chromosome
CNVs, there is no way to tell whether it is a real CNV or not, based on CN
estimate only, in the Birdmerge output)
sample sample_index copy_number chr start end confidence
NA06991.affy6.cel 1 2 1 51598 17063449 8576.0
NA06991.affy6.cel 1 3 1 17067742 17134834 10.0
NA06991.affy6.cel 1 2 1 17148828 25455928 5135.0
NA06991.affy6.cel 1 1 1 25465715 25534592 10.0
NA06991.affy6.cel 1 2 1 25534593 48052671 12098.0
NA06991.affy6.cel 1 1 1 48054319 48055107 0.62
NA06991.affy6.cel 1 2 1 48055171 61885690 8806.0
NA06991.affy6.cel 1 0 1 61886594 61890775 10.0
NA06991.affy6.cel 1 2 1 61892397 72522941 7032.0
NA06991.affy6.cel 1 1 1 72528701 72583736 60.81
NA06991.affy6.cel 1 2 1 72584492 105814899 20505.0
=head2 Canary format
This format is produced by Canary to infer CN numbers on common CNP regions. One
example is given below:
cnp_id NA06991.affy6.cel NA06994.affy6.cel NA07000.affy6.cel NA07019.affy6.cel NA07034.affy6.cel
CNP10000 2 3 2 2 2
CNP10010 2 2 2 3 2
CNP10026 2 4 2 2 2
CNP10028 2 1 1 2 2
For questions, comments or bug reports, please contact me at
kai@openbioinformatics.org.
=back