# $Id: ESEfinder.pm 16123 2009-09-17 12:57:27Z cjfields $ # # BioPerl module for Bio::Tools::Analysis::DNA::ESEfinder # # Please direct questions and support issues to # # Cared for by Heikki Lehvaslaiho # # Copyright Richard Adams # # You may distribute this module under the same terms as perl itself # POD documentation - main docs before the code =head1 NAME Bio::Tools::Analysis::DNA::ESEfinder - a wrapper around ESEfinder server =head1 SYNOPSIS use Bio::Tools::Analysis::DNA::ESEfinder; use strict; my $seq; # a Bio::PrimarySeqI or Bio::SeqI object $seq = Bio::Seq->new( -primary_id => 'test', -seq=>'atgcatgctaggtgtgtgttttgtgggttgtactagctagtgat'. -alphabet=>'dna'); my $ese_finder = Bio::Tools::Analysis::DNA::ESEfinder-> new(-seq => $seq); # run ESEfinder prediction on a DNA sequence $ese_finder->run(); die "Could not get a result" unless $ese_finder->status =~ /^COMPLETED/; print $ese_finder->result; # print raw prediction to STDOUT foreach my $feat ( $ese_finder->result('Bio::SeqFeatureI') ) { # do something to SeqFeature # e.g. print as GFF print $feat->gff_string, "\n"; # or store within the sequence - if it is a Bio::SeqI $seq->add_SeqFeature($feat) } =head1 DESCRIPTION This class is a wrapper around the ESEfinder web server which uses experimentally defined scoring matrices to identify possible exonic splicing enhancers in human transcripts. The results can be retrieved in 4 ways. =over 4 =item 1. C<$ese_finder-Eresult('')> retrieves the raw text output of the program =item 2. C<$ese_finder-Eresult('all')> returns a Bio::Seq::Meta::Array object with prediction scores for all residues in the sequence =item 3. C<$ese_finder-Eresult('Bio::SeqFeatureI')> returns an array of Bio::SeqFeature objects for sequences with significant scores. Feature tags are score, motif, SR_protein and method =item 4. C<$ese_finder-Eresult('raw')> returns an array of significant matches with each element being a reference to [SR_protein, position, motif, score] =back See L This the second implentation of Bio::SimpleAnalysisI which hopefully will make it easier to write wrappers on various services. This class uses a web resource and therefore inherits from L. =head1 SEE ALSO L, L =head1 FEEDBACK =head2 Mailing Lists User feedback is an integral part of the evolution of this and other Bioperl modules. Send your comments and suggestions preferably to one of the Bioperl mailing lists. Your participation is much appreciated. bioperl-l@bioperl.org - General discussion http://bioperl.org/wiki/Mailing_lists - About the mailing lists =head2 Support Please direct usage questions or support issues to the mailing list: I rather than to the module maintainer directly. Many experienced and reponsive experts will be able look at the problem and quickly address it. Please include a thorough description of the problem with code and data examples if at all possible. =head2 Reporting Bugs Report bugs to the Bioperl bug tracking system to help us keep track the bugs and their resolution. Bug reports can be submitted via the web: http://bugzilla.open-bio.org/ =head1 AUTHORS Richard Adams, Richard.Adams@ed.ac.uk, Heikki Lehvaslaiho, heikki-at-bioperl-dot-org =head1 APPENDIX The rest of the documentation details each of the object methods. Internal methods are usually preceded with a _ =cut # Let the code begin... #should have own package Bio::Tools::Analysis::DNA::ESEfinder; use Data::Dumper; use IO::String; use Bio::SeqIO; use HTTP::Request::Common qw (POST); use HTML::HeadParser; use Bio::SeqFeature::Generic; use Bio::Seq::Meta::Array; use Bio::WebAgent; use strict; #inherits directly from SimpleAnalysisBase use base qw(Bio::Tools::Analysis::SimpleAnalysisBase); #global vars are now file-scoped lexicals my $URL = 'http://rulai.cshl.org/cgi-bin/tools/ESE/esefinder.cgi'; my $ANALYSIS_NAME = 'ESEfinder'; my $ANALYSIS_SPEC = { 'name' => 'ESEfinder', 'type' => 'DNA', #compulsory entry as is used for seq checking 'version' => '2.0', 'supplier' => 'Krainer lab, Cold Spring Harbor Laboratory, POBOX100, Bungtown Rd, COld Spring Harbor, NY, USA', 'description' => 'to identify exonic splicing elements in human transcripts', }; my $INPUT_SPEC = [{ 'mandatory' => 'true', 'type' => 'Bio::PrimarySeqI', 'name' => 'sequence', }]; my $RESULT_SPEC = { '' => 'bulk', # same as undef 'Bio::SeqFeatureI' => 'ARRAY of Bio::SeqFeature::Generic', 'raw' => 'Array of [ SR_protein, position, motif, score]', 'all' => 'Bio::Seq::Meta::Array object' }; ### unique to this module ## sub _init { ## fills in fixed data for class ## my $self = shift; $self->url($URL); $self->{'_ANALYSIS_SPEC'} =$ANALYSIS_SPEC; $self->{'_INPUT_SPEC'} =$INPUT_SPEC; $self->{'_RESULT_SPEC'} =$RESULT_SPEC; $self->{'_ANALYSIS_NAME'} =$ANALYSIS_NAME; return $self; } sub _run { my $self = shift; my $seq_fasta; my $stringfh = new IO::String($seq_fasta); my $seqout = Bio::SeqIO->new(-fh => $stringfh, -format => 'fasta'); $seqout->write_seq($self->seq); $self->debug($seq_fasta); $self->delay(1); # delay repeated calls by default by 3 sec, set delay() to change $self->sleep; $self->status('TERMINATED_BY_ERROR'); my $request = POST $self->url, #Content_Type => 'x-www-form-urlencoded', Content => [ protein1 => 1, protein2 => 1, protein3 => 1, protein4 => 1, radio_sf2 => 0, radio_sc35 => 0, radio_srp40 => 0, radio_srp55 => 0, sequence =>$seq_fasta, ]; my $content = $self->request($request); if( $content->is_error ) { $self->throw(ref($self)." Request Error:\n".$content->as_string); } my $text = $content->content; #1st reponse my ($tmpfile) = $text =~ /value="(tmp\/.+txt)"/; # now get data for all residues # my $rq2 = POST 'http://rulai.cshl.org/cgi-bin/tools/ESE/resultfile.txt', #Content_Type => 'x-www-form-urlencoded', Content => [ fname => $tmpfile, ]; my $ua2 = Bio::WebAgent->new(); my $content2 = $ua2->request($rq2); if( $content2->is_error ) { $self->throw(ref($self)." Request Error:\n".$content2->as_string); } my $text2 = $content2->content; $self->{'_result'} = $text2; $self->status('COMPLETED') if $text2 ne ''; #print Dumper $response; } sub result { #make sec feat of above threshold scores # my ($self,$value) = @_; my @sig_pdctns; my @fts; if ($value ) { my $result = IO::String->new($self->{'_result'}); my $current_SR; my $all_st_flag = 0; my %all; while (my $line = <$result>) { #make array of all scores or threshold depending on $value last if $line =~ /^All scores/ && $value ne 'all' or $line =~ /2001,/; $all_st_flag++ if $line =~ /All scores/; next if $value eq 'all' && $all_st_flag == 0; #parse line if ($line =~ /^Protein/) { ($current_SR) = $line =~/:\s+(\S+)/; $current_SR =~ s{/}{_}; # remove unallowed charcters from hash } if ( $line =~/^\d+/ && $value ne 'all') { push @sig_pdctns, [$current_SR, split /\s+/, $line] ; } elsif ($line =~ /^\d+/) { push @{$all{$current_SR}}, [split /\s+/, $line]; } } if ($value eq 'Bio::SeqFeatureI') { foreach (@sig_pdctns) { #make new ese object for each row of results push @fts, Bio::SeqFeature::Generic->new ( -start => $_->[1], -end => $_->[1] + length($_->[2]) -1, -source => 'ESEfinder', -primary => 'ESE', -tag =>{ score =>$_->[3], motif=> $_->[2], SR_protein=> $_->[0], method=> 'ESEfinder', }, ); } return @fts; } ## convert parsed data into a meta array format elsif ($value eq 'all') { bless ($self->seq, "Bio::Seq::Meta::Array"); $self->seq->isa("Bio::Seq::MetaI") || $self->throw("$self is not a Bio::Seq::MetaI"); for my $prot (keys %all) { my @meta; my $len = scalar @{$all{$prot}} ; for (my $i = 0; $i < $len; $i++ ) { $meta[$i] = $all{$prot}[$i][2]; } # assign default name here so that the # Bio::Seq::Meta::Array can work for all classes # implementing it and we can avoid having to make # asubclass for each implementation $Bio::Seq::Meta::Array::DEFAULT_NAME = "ESEfinder_SRp55"; my $meta_name = $self->analysis_spec->{'name'} . "_" . "$prot"; $self->seq->named_meta($meta_name,\@meta ); } # return seq array object implementing meta sequence # return $self->seq; } #return ref to array of arrays return \@sig_pdctns; } return $self->{'_result'}; } 1;