NAME

Bio::Tools::Signalp::ExtendedSignalp - enhanced parser for Signalp output

SYNOPSIS

use Bio::Tools::Signalp::ExtendedSignalp;
my $params = [qw(maxC maxY maxS meanS D)];
my $parser = new Bio::Tools::Signalp::ExtendedSignalp(
                                                      -fh      => $filehandle
                                                      -factors => $params
                                                     );

$parser->factors($params);
while( my $sp_feat = $parser->next_feature ) {
      #do something
      #eg
      push @sp_feat, $sp_feat;
}

DESCRIPTION

# Please direct questions and support issues to bioperl-l@bioperl.org

Parser module for Signalp.

Based on the EnsEMBL module Bio::EnsEMBL::Pipeline::Runnable::Protein::Signalp originally written by Marc Sohrmann (ms2 a sanger.ac.uk) Written in BioPipe by Balamurugan Kumarasamy (savikalpa a fugu-sg.org) Cared for by the Fugu Informatics team (fuguteam@fugu-sg.org)

You may distribute this module under the same terms as perl itself

Compared to the original SignalP, this method allow the user to filter results out based on maxC maxY maxS meanS and D factor cutoff for the Neural Network (NN) method only. The HMM method does not give any filters with 'YES' or 'NO' as result.

The user must be aware that the filters can only by applied on NN method. Also, to ensure the compatibility with original Signalp parsing module, the user must know that by default, if filters are empty, max Y and mean S filters are automatically used to filter results.

If the used gives a list, then the parser will only report protein having 'YES' for each factor.

This module supports parsing for full, summary and short output form signalp. Actually, full and summary are equivalent in terms of filtering results.

FEEDBACK

Mailing Lists

User feedback is an integral part of the evolution of this and other Bioperl modules. Send your comments and suggestions preferably to the Bioperl mailing list. Your participation is much appreciated.

bioperl-l@bioperl.org                  - General discussion
http://bioperl.org/wiki/Mailing_lists  - About the mailing lists

Support

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.

Reporting Bugs

Report bugs to the Bioperl bug tracking system to help us keep track of the bugs and their resolution. Bug reports can be submitted via the web:

https://redmine.open-bio.org/projects/bioperl/

AUTHOR

Based on the Bio::Tools::Signalp module
Emmanuel Quevillon <emmanuel.quevillon@versailles.inra.fr>

APPENDIX

The rest of the documentation details each of the object methods.
Internal methods are usually preceded with a _

new

Title   : new
Usage   : my $obj = new Bio::Tools::Signalp::ExtendedSignalp();
Function: Builds a new Bio::Tools::Signalp::ExtendedSignalp object
Returns : Bio::Tools::Signalp::ExtendedSignalp
Args    : -fh/-file => $val, # for initing input, see Bio::Root::IO

next_feature

Title   : next_feature
Usage   : my $feat = $signalp->next_feature
Function: Get the next result feature from parser data
Returns : Bio::SeqFeature::Generic
Args    : none

_filterok

Title   : _filterok
Usage   : my $feat = $signalp->_filterok
Function: Check if the factors required by the user are all ok.
Returns : 1/0
Args    : hash reference

factors

Title   : factors
Usage   : my $feat = $signalp->factors
Function: Get/Set the filters required from the user
Returns : hash
Args    : array reference

_parsed

Title   : _parsed
Usage   : obj->_parsed()
Function: Get/Set if the result is parsed or not
Returns : 1/0 scalar
Args    : On set 1

_parse

Title   : _parse
Usage   : obj->_parse
Function: Parse the SignalP result
Returns :
Args    :

_parse_summary_format

Title   : _parse_summary_format
Usage   : $self->_parse_summary_format
Function: Method to parse summary/full format from signalp output
          It automatically fills filtered features.
Returns :
Args    :

_parse_nn_result

Title   : _parse_nn_result
Usage   : obj->_parse_nn_result
Function: Parses the Neuronal Network (NN) part of the result
Returns : Hash reference
Args    :

_parse_hmm_result

Title   : _parse_hmm_result
Usage   : obj->_parse_hmm_result
Function: Parses the Hiden Markov Model (HMM) part of the result
Returns : Hash reference
Args    :

_parse_short_format

Title   : _parse_short_format
Usage   : $self->_parse_short_format
Function: Method to parse short format from signalp output
          It automatically fills filtered features.
Returns :
Args    :

create_feature

Title   : create_feature
Usage   : obj->create_feature(\%feature)
Function: Internal(not to be used directly)
Returns :
Args    :

seqname

Title   : seqname
Usage   : obj->seqname($name)
Function: Internal(not to be used directly)
Returns :
Args    :

cpanm Bio::Seq

perl -MCPAN -e shell
install Bio::Seq