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# $Id: ESEfinder.pm,v 1.12.4.3 2006/11/08 17:25:55 sendu Exp $
#
# BioPerl module for Bio::Tools::Analysis::DNA::ESEfinder
#
# Cared for by Heikki Lehvaslaiho <heikki-at-bioperl-dot-org>
#
# 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<$ese_finder-E<gt>result('')> retrieves the raw text output of the
program
=item 2.
C<$ese_finder-E<gt>result('all')> returns a Bio::Seq::Meta::Array object
with prediction scores for all residues in the sequence
=item 3.
C<$ese_finder-E<gt>result('Bio::SeqFeatureI')> returns an array of
Bio::SeqFeature objects for sequences with significant scores. Feature
tags are score, motif, SR_protein and method
=item 4.
C<$ese_finder-E<gt>result('raw')> returns an array of significant matches
with each element being a reference to [SR_protein, position, motif,
score]
=back
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<Bio::WebAgent>.
=head1 SEE ALSO
L<Bio::SimpleAnalysisI>,
L<Bio::WebAgent>
=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 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:
=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
use HTTP::Request::Common qw (POST);
use HTML::HeadParser;
use strict;
#inherits directly from SimpleAnalysisBase
#global vars are now file-scoped lexicals
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 = new Bio::SeqIO(-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 #
#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;