Bio::Tools::TargetP(3pm) | User Contributed Perl Documentation | Bio::Tools::TargetP(3pm) |
NAME¶
Bio::Tools::TargetP - Results of one TargetP run
SYNOPSIS¶
use Bio::Tools::TargetP; #filename for TargetP result : $targetp = Bio::Tools::TargetP->new(-file => 'targetp.out'); # filehandle for TargetP : $targetp = Bio::Tools::TargetP->new( -fh => \*INPUT ); ### targetp v1.1 prediction results ################################## #Number of query sequences: 11 #Cleavage site predictions included. #Using NON-PLANT networks. # #Name Len mTP SP other Loc RC TPlen #---------------------------------------------------------------------- #swall|Q9LIP3|C72Y_AR 500 0.245 0.935 0.009 S 2 22 #swall|Q52813|AAPQ_RH 400 0.170 0.462 0.577 _ 5 - #swall|O86459|AAT_RHI 400 0.346 0.046 0.660 _ 4 - # parse the results while($feature = $targetp->next_prediction()) { #$feature is a Bio::SeqFeature::Generic object my $method = $targetp->analysis_method(); my $vesion = $targetp->analysis_method_version() || $feature->source(); my $seqid = $feature->seq_id(); # ... } # essential if you gave a filename at initialization (otherwise the file # will stay open) $targetp->close();
DESCRIPTION¶
TargetP modules will provides parsed information about protein localization. It reads in a targetp output file. It parses the results, and returns a Bio::SeqFeature::Generic object for each seqeunces found to have a subcellular localization
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://github.com/bioperl/bioperl-live/issues
AUTHORS - Emmanuel Quevillon¶
Email emmanuel.quevillon@versailles.inra.fr
Describe contact details here
APPENDIX¶
The rest of the documentation details each of the object methods. Internal methods are usually preceded with a _
analysis_method¶
Usage : $self->analysis_method(); Purpose : Inherited method. Overridden to ensure that the name matches Returns : String Argument : n/a
network¶
Title : network Usage : $self->network($network) Function: This method Get/Set the network used for the analysis (PLANT or NON-PLANT) Example : Returns : string Arguments: On set, the network used
cleavage¶
Title : cleavage Usage : $self->cleavage($cleavage) Function : This method Get/Set if SignalP program was used to run TargetP Example : Returns : 1 or 0 Arguments: On set, the cleavage used or not
next_prediction¶
Usage : $targetp->next_prediction() Purpose : Returns the next TargetP prediction Returns : A Bio::SeqFeature::Generic object Arguments: n/a
create_feature¶
Title : create_feature Usage : $self->create_feature(\%hash); Function : This method creates a new Bio::SeqFeature::Generic object Example : Returns : Bio::SeqFeature::Generic Arguments : hash reference
PRIVATE METHODS¶
_initialize_state¶
Title : _initialize_state Usage : n/a; usually called by _initialize() itself called by new() Function: This method is supposed to reset the state such that any 'history' is lost. State information that does not change during object lifetime is not considered as history, e.g. parent, name, etc shall not be reset. An inheriting object should only be concerned with state information it introduces itself, and for everything else call SUPER::_initialize_state(@args). The argument syntax is the same as for new() and _initialize(), i.e., named parameters following the -name=>$value convention. The following parameters are dealt with by the implementation provided here: -INPUT, -FH, -FILE (tags are case-insensitive). Example : Returns : Args :
_predictions¶
Usage : $targetp->_prediction() Purpose : Returns the number of TargetP predictions Returns : A scalar (number) Arguments: n/a
_parsed¶
Title : _parsed Usage : $targetp->_parsed(1) Function : This method is used to know if the output result is parsed or not For internal use only Example : Returns : 1/0 Arguments : 1/0 for setting
_parse_results¶
Title : _parse_results Usage : $self->_parse_results() Function : This method parses a TargetP output For internal use only Example : Returns : n/a Arguments: none
_parse_line¶
Title : _parse_line Usage : $self->_parse_line($line) Function : This method parses the line result For internal use only Example : Returns : Hash reference Arguemnts: line to parse
_add_feature¶
Title : _add_feature Usage : $self->_add_feature($feature) Function : This method stores a feature object For internal use only Example : Returns : n/a Arguments: Bio::SeqFeature::Generic
_toString_location¶
Title : _toString_location Usage : $self->_toString_location($key) Function : This method convert the 'one letter code' location to the corresponding definition For internal use only Example : Returns : Location or undef Arguments: String
2021-08-15 | perl v5.32.1 |