| BioPerl documentation | Contained in the BioPerl distribution. |
Bio::Tools::Analysis::Protein::Domcut - a wrapper around Domcut server
use Bio::Tools::Analysis::Protein::Domcut;
#get a Bio::PrimarySeq
use Bio::PrimarySeq;
my $seq = Bio::PrimarySeq->new
(-seq=>'IKLCVNLAILAKAHLIELALAL',
-primary_id=>'test'); # a Bio::PrimarySeqI object
my $domcut = Bio::Tools::Analysis::Protein::Domcut->new (-seq=>$seq);
$domcut->run;
print $domcut->result;# #raw text to standard out
A module to remotely retrieve predictions of protein domain boundaries. Each residue in the protein receives a score, those better than the significance threshold and at a local minimum receive a rank - i.e., the best minimum is rank 1, the second best minimum is rank2 etc. These correspond to domain boundaries. e.g.,
my $analysis_object = Bio::Tools::Analysis::Protein::Domcut->new
(-seq => $seq);
creates a new object. The sequence supplied must be a Bio::PrimarySeq and not a Bio::Seq object.
$analysis_object->run;
submits the query to the server and obtains raw text output
Given an amino acid sequence the results can be obtained in 4 formats, determined by the argument to the result method
The raw text of the program output
my $rawdata = $analysis_object->result;
A reference to an array of hashes of scores for each state and the assigned state. Each element in the array is a residue (indexed from 0).
my $data_ref = $analysis_object->result('parsed');
print "score for helix at residue 2 is $data_ref->[1]{'helix'}\n";
print "predicted struc at residue 2 is $data_ref->[1]{'struc}\n";
An array of Bio::SeqFeature::Generic objects where each feature is a predicted unit of secondary structure. Only stretches of helix/sheet predictions for longer than 4 residues are defined as helices. So, in order to add features to an existing Bio::Seq object;
# get a Bio::Seq object
my $seqobj;
my $tool = Bio::Tools::Analysis::Protein::Domcut->new
( -seq => $seqobj->primary_seq);
$tool->run;
my @fts = $tool->result(Bio::SeqFeatureI);
$seqobj->add_SeqFeature(@fts);
# if you want meta sequences as well :
my $meta = $tool->result('meta');
$seqobj->primary_seq($meta);
# can access meta data in a Bio::Seq object via a
# call to primary_seq:
print $seq4->primary_seq->named_submeta_text('Domcut', 1,2), "\n";
A Bio::Seq::Meta::Array implementing sequence.
This is a Bio::Seq object that can also hold data about each residue in the sequence. In this case, the sequence can be associated with a single array of Domcut prediction scores. e.g.,
my $meta_sequence = $analysis_object->result('meta');
print "scores from residues 10 -20 are ",
$meta_sequence->submeta_text(10,20), "\n";
Many methods common to all analyses are inherited from Bio::Tools::Analysis::SimpleAnalysisBase.
Bio::SimpleAnalysisI, Bio::Tools::Analysis::SimpleAnalysisBase, Bio::Seq::Meta::Array, Bio::WebAgent
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
Please direct usage questions or support issues to the mailing list:
bioperl-l@bioperl.org
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.
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:
https://redmine.open-bio.org/projects/bioperl/
Richard Adams, Richard.Adams@ed.ac.uk,
The rest of the documentation details each of the object methods. Internal methods are usually preceded with a _
Name : result Purpose : To retrieve results of analysis in one of several formats. Usage : $job->result (...) Returns : a result created by running an analysis Args : various - see keysin $RESULT_SPEC.
The method returns a result of an executed job. If the job was terminated by an error the result may contain an error message instead of the real data.
This implementation returns differently processed data depending on argument:
Returns the raw ASCII data stream but without HTML tags
The argument string defines the type of bioperl objects returned in an array. The objects are Bio::SeqFeature::Generic. Tagnames are 'score' and 'rank'.
Array of array references of [score, rank].
A Bio::Seq::Meta::Array object. Scores can be accessed using methods from this class. Meta sequence name is Domcut.
| BioPerl documentation | Contained in the BioPerl distribution. |
# $Id: Domcut.pm,v 1.0 2003/07/ 11 # # BioPerl module for Bio::Tools::Analysis::Protein::Domcut # # Copyright Richard Adams # # You may distribute this module under the same terms as perl itself # POD documentation - main docs before the code
use strict; package Bio::Tools::Analysis::Protein::Domcut; use IO::String; use Bio::SeqIO; use HTTP::Request::Common qw(GET); use Bio::SeqFeature::Generic; use Bio::Seq::Meta::Array; use base qw(Bio::Tools::Analysis::SimpleAnalysisBase); my $URL = 'http://www.Bork.EMBL-Heidelberg.DE/Docu/mikita/domplot.cgi?'; my $ANALYSIS_NAME = 'Domcut'; my $ANALYSIS_SPEC = { 'name' => 'Domcut', 'type' => 'protein', #compulsory entry as is used for seq checking 'version' => 'n/a', 'supplier' => 'Ohara lab, Laboratory of DNA technology, Kazusa DNA Research Institute, 1532-3 Yana, Kisarazu, Japan', 'description' => 'to predict domain boundaries in proteins', 'reference' => 'Bioinformatics 19, 673-674 (2003)', }; my $INPUT_SPEC = [ { 'mandatory' => 'true', 'type' => 'Bio::PrimarySeqI', 'name' => 'seq', }, ]; my $RESULT_SPEC = { '' => 'bulk', # same as undef 'Bio::SeqFeatureI' => 'ARRAY of Bio::SeqFeature::Generic', 'parsed' => "Array of {'score' =>, 'rank'=> ]", 'meta' => 'Bio::Seq::Meta::Array object' };
sub result { my ($self,$value) = @_; my @scores; my @fts; if ($value ) { # parse raw text if not already done so if (!exists($self->{'_parsed'})) { my $result = IO::String->new($self->{'_result'}); while (my $line = <$result>) { next if $line =~/#/; $line =~/(\-?\d\.\d+)\s+(\d+)?/; push @scores, {score => $1, rank => ($2)?$2:'' , }; } #hold parsed results in object, saves having to reparse each time $self->{'_parsed'} = \@scores; } #make aarray of Bio::SeqFeature::Generic objects if ($value eq 'Bio::SeqFeatureI') { my $i = 0; #array index (= aa num -1) my $in_trough = 0; my ($st, $end, $rank, $min_score, $min_locus) = (0,0,0,0,0); my $seqlen = $self->seq->length(); for my $score (@{$self->{'_parsed'}}) { ##start a potential trough if ($in_trough == 0 && $score->{'score'} < -0.09) { $in_trough = 1; $st = $i+1; } ## in a trough, is it ranked? elsif ( $in_trough == 1 && $score->{'score'} < -0.09 && $i +1 < $seqlen){ if ($score->{'rank'} ) { $rank = $score->{'rank'}; $min_score = $score->{'score'}; $min_locus = $i + 1; } } ## end of trough or end of sequence, make into feature ## if possible elsif ($in_trough == 1 && ($score->{'score'} > -0.09 || $i +1 == $seqlen) ){ if ($rank != 0) { push @fts, Bio::SeqFeature::Generic->new ( -start => $st, -end => $i +1, #current position -primary => 'Linker', -source => 'Domcut', -tag => { score => $min_score, rank => $rank, residue => $min_locus, }, ); } ##and reset parameters ## ($st, $in_trough, $min_locus, $min_score, $rank) = (0,0,0,0,0); } $i++; } return @fts; } ## convert parsed data into a meta array format elsif ($value eq 'meta') { ## only need to bless once if (! $self->seq->isa("Bio::Seq::MetaI")){ bless ($self->seq, "Bio::Seq::Meta::Array"); } $self->seq->isa("Bio::Seq::MetaI") || $self->throw("$self is not a Bio::Seq::MetaI"); my $meta_name = "Domcut"; #test that sequence does not have already a meta seq with same name if (grep{$_ eq $meta_name}$self->seq->meta_names ) { $self->warn ("$meta_name already exists , not overwriting!"); next; } ### or should be an instance variable?? ## $Bio::Seq::Meta::Array::DEFAULT_NAME = 'Domcut'; my @meta = map{$_->{'score'}} @{$self->{'_parsed'}}; $self->seq->named_meta($meta_name,\@meta ); # return seq array object implementing meta sequence # return $self->seq; } # return ref to array of predictions; elsif ($value eq 'parsed') { return $self->{'_parsed'}; } } #else if no arguments return raw text return $self->{'_result'}; } sub _init { 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 = $self->seq->seq; $self->delay(1); # delay repeated calls by default by 3 sec, set delay() to change $self->sleep; $self->status('TERMINATED_BY_ERROR'); my $rqst = GET $self->url . "&seqnam=". "&sequence=". $seq_fasta. "&outform=dat"; my $content = $self->request($rqst); my $text = $content->content; #1st reponse $self->{'_result'} = $text; $self->status('COMPLETED') if $text ne ''; } 1;