2 # BioPerl module for Bio::Tools::QRNA
4 # Please direct questions and support issues to <bioperl-l@bioperl.org>
6 # Cared for by Jason Stajich <jason-at-bioperl-dot-org>
8 # Copyright Jason Stajich
10 # You may distribute this module under the same terms as perl itself
12 # POD documentation - main docs before the code
16 Bio::Tools::QRNA - A Parser for qrna output
21 my $parser = Bio::Tools::QRNA->new(-file => $qrnaoutput);
22 while( my $feature = $parser->next_feature ) {
28 Parses QRNA output (E.Rivas:
29 http://selab.janelia.org/software.html
30 ftp://selab.janelia.org/pub/software/qrna/).
32 This module is not complete, but currently it packs information from
33 each QRNA alignment into a single Bio::SeqFeature::Generic object.
35 Not all options for QRNA output have been tested or tried. It has
36 been tested on sliding window output (-w -x) and shuffled output (-b
39 See t/QRNA.t for example usage.
41 At some point we may have more complicated feature object which will
42 support this data rather than forcing most of the information into
43 tag/value pairs in a SeqFeature::Generic.
45 Running with -verbose =E<gt> 1 will store extra data in the feature. The
46 entire unparsed entry for a particular feature will be stored as a
47 string in the tag 'entry' it is accessible via:
49 my ($entry) = $f->each_tag_value('entry');
51 The winning model for any given alignment test will be the name stored
52 in the primary_tag field of feature. The bit score will stored in the
53 score field. The logoddpost is available via the a tag/value pair.
54 This example code will show how to print out the score and log odds
57 # assuming you got a feature already
58 print "model score logoddspost\n";
59 foreach my $model ( qw(OTH COD RNA) ) {
60 my ($score) = $f->get_tag_values("$model\_score");
61 my ($logoddspost) = $f->get_tag_values("$model\_logoddspost");
62 print "$model $score $logoddspost\n";
65 The start and end of the alignment for both the query and hit sequence
66 are available through the L<Bio::SeqFeature::FeaturePair> interface,
67 specifically L<Bio::SeqFeature::FeaturePair::feature1> and
68 L<Bio::SeqFeature::FeaturePair::feature2>. Additionally if you have
69 run QRNA with an input file which has the location of the alignment
70 stored in the FASTA filename as in (ID/START-END) which is the default
71 output format from L<Bio::AlignIO::fasta> produced alignment output,
72 this module will re-number start/end for the two sequences so they are
73 in the actual coordinates of the sequence rather than the relative
74 coordinates of the alignment. You may find the bioperl utillity
75 script search2alnblocks useful in creating your input files for QRNA.
77 Some other words of warning, QRNA uses a 0 based numbering system for
78 sequence locations, Bioperl uses a 1 based system. You'll notice that
79 locations will be +1 they are reported in the raw QRNA output.
85 User feedback is an integral part of the evolution of this and other
86 Bioperl modules. Send your comments and suggestions preferably to
87 the Bioperl mailing list. Your participation is much appreciated.
89 bioperl-l@bioperl.org - General discussion
90 http://bioperl.org/wiki/Mailing_lists - About the mailing lists
94 Please direct usage questions or support issues to the mailing list:
96 I<bioperl-l@bioperl.org>
98 rather than to the module maintainer directly. Many experienced and
99 reponsive experts will be able look at the problem and quickly
100 address it. Please include a thorough description of the problem
101 with code and data examples if at all possible.
103 =head2 Reporting Bugs
105 Report bugs to the Bioperl bug tracking system to help us keep track
106 of the bugs and their resolution. Bug reports can be submitted via
109 https://github.com/bioperl/bioperl-live/issues
111 =head1 AUTHOR - Jason Stajich
113 Email jason-at-bioperl-dot-org
117 The rest of the documentation details each of the object methods.
118 Internal methods are usually preceded with a _
123 # Let the code begin...
126 package Bio
::Tools
::QRNA
;
128 use vars
qw(@Models);
131 use Bio::SeqFeature::Generic;
132 use Bio::SeqFeature::FeaturePair;
134 use base qw(Bio::Root::IO Bio::SeqAnalysisParserI);
135 @Models = qw(OTH COD RNA);
140 Usage : my $obj = Bio::Tools::QRNA->new();
141 Function: Builds a new Bio::Tools::QRNA object
142 Returns : an instance of Bio::Tools::QRNA
143 Args : -fh/-file filehandle/filename standard input for
151 Usage : my $feature = $parser->next_feature
152 Function: Get the next QRNA feature
161 my $f = shift @
{$self->{'_parsed_features'} || []};
162 if( ! defined $f && $self->_parse_pair ) {
163 $f = shift @
{$self->{'_parsed_features'} || []};
169 my ($self,@args) = @_;
170 my (@features,%data);
172 while( defined( $_ = $self->_readline) ) {
173 next if( /^\#\-\-/o );
174 if( /^\#\s+(qrna)\s+(\S+)\s+\(([^\)]+)\)/o ) {
175 $self->program_name($1);
176 $self->program_version($2);
177 $self->program_date($3);
178 } elsif( /^\#\s+(PAM model)\s+\=\s+(.+)\s+$/o ) {
179 $self->PAM_model($2);
180 } elsif( /^\#\s+(RNA model)\s+\=\s+(\S+)/o ) {
181 $self->RNA_model($2);
182 } elsif( /^\#\s+(seq file)\s+\=\s+(.+)\s+$/o ) {
184 } elsif( /^\#\s+(\d+)\s+\[([\-+])\s+strand\]/o ) {
186 if( $data{'alignment_len'} ) {
187 push @features, $self->_make_feature(\
%data);
189 $self->_pushback($_);
195 } elsif( />(\S+)\s+\((\d+)\)/ ) {
196 if( @
{$data{'seqs'} || []} == 2 ) {
197 $self->warn( "already seen seqs ".join(' ', ,map { $_->[0] }
198 @
{$data{'seqs'}}). "\n");
200 push @
{$data{'seqs'}}, [$1,$2];
202 } elsif( /^length alignment:\s+(\d+)\s+\(id\=(\d+(\.\d+)?)\)/o ) {
204 if( $data{'alignment_len'} ) {
205 push @features, $self->_make_feature(\
%data);
206 # reset all the data but the 'seqs' field
207 %data = ( 'seqs' => $data{'seqs'} );
210 if( /\(((sre_)?shuffled)\)/ ) {
211 $data{'shuffled'} = $1;
213 $data{'alignment_len'} = $1;
214 $data{'alignment_pid'} = $2;
215 } elsif ( /^pos([XY
]):\s
+(\d
+)\
-(\d
+)\s
+\
[(\d
+)\
-(\d
+)\
]\
((\d
+)\
)\s
+
216 \
-\
-\s
+\
((\S
+\s
+\S
+\s
+\S
+\s
+\S
+)\
)/ox
) {
217 $data{"seq\_$1"}->{'aln'} = [ $2,$3, $4,$5, $6];
218 @
{$data{"seq\_$1"}->{'base_comp'}} = split(/\s+/,$7);
219 } elsif( /^winner\s+\=\s+(\S{3})/ ) {
220 $data{'winning_model'} = $1;
221 } elsif( /^(\S{3})\s+ends\s+\=\s+(\-?\d+)\s+(\-?\d+)/ ) {
224 $data{'model_location'}->{$1} = [ $2,$3 ];
225 } elsif( /^\s+(logoddspost)?OTH\s+\=\s+/ox ) {
226 while( /(\S+)\s+\=\s+(\-?\d+(\.\d+))/g ) {
227 my ($model,$score)= ($1,$2);
228 if( $model =~ s/^logoddspost// ) {
229 $data{'model_scores'}->{'logoddspost'}->{$model} = $score;
231 $data{'model_scores'}->{'bits'}->{$model} = $score;
235 $data{'entry'} .= $_;
238 push @
{$self->{'_parsed_features'}}, @features;
239 return scalar @features;
247 Usage : $obj->PAM_model($newval)
250 Returns : value of PAM_model (a scalar)
251 Args : on set, new value (a scalar or undef, optional)
258 return $self->{'PAM_model'} = shift if @_;
259 return $self->{'PAM_model'};
265 Usage : $obj->RNA_model($newval)
268 Returns : value of RNA_model (a scalar)
269 Args : on set, new value (a scalar or undef, optional)
277 return $self->{'RNA_model'} = shift if @_;
278 return $self->{'RNA_model'};
284 Usage : $obj->seq_file($newval)
287 Returns : value of seq_file (a scalar)
288 Args : on set, new value (a scalar or undef, optional)
296 return $self->{'seq_file'} = shift if @_;
297 return $self->{'seq_file'};
304 Usage : $obj->program_name($newval)
307 Returns : value of program_name (a scalar)
308 Args : on set, new value (a scalar or undef, optional)
316 return $self->{'program_name'} = shift if @_;
317 return $self->{'program_name'} || 'qrna';
320 =head2 program_version
322 Title : program_version
323 Usage : $obj->program_version($newval)
326 Returns : value of program_version (a scalar)
327 Args : on set, new value (a scalar or undef, optional)
335 return $self->{'program_version'} = shift if @_;
336 return $self->{'program_version'};
342 Usage : $obj->program_date($newval)
345 Returns : value of program_date (a scalar)
346 Args : on set, new value (a scalar or undef, optional)
353 return $self->{'program_date'} = shift if @_;
354 return $self->{'program_date'};
358 my ($self,$data) = @_;
359 my ($qoffset,$hoffset) = (1,1);
360 # when you run qrna and have produced ID/START-END
361 # formatted input strings we can remap the location
364 # name is stored as the first entry in the seq array ref
365 my ($qid,$hid) = ( $data->{'seqs'}->[0]->[0],
366 $data->{'seqs'}->[1]->[0]);
367 if( $qid =~ /(\S+)\/(\d
+)\
-(\d
+)/ ) {
368 ($qid,$qoffset) = ($1,$2);
370 if( $hid =~ /(\S+)\/(\d
+)\
-(\d
+)/ ) {
371 ($hid,$hoffset) = ($1,$2);
374 my $f = Bio
::SeqFeature
::FeaturePair
->new();
376 my ($s,$e) = @
{$data->{'model_location'}->{$data->{'winning_model'}}};
377 my $qf = Bio
::SeqFeature
::Generic
->new
378 ( -primary_tag
=> $data->{'winning_model'},
379 -source_tag
=> $self->program_name,
380 -score
=> $data->{'model_scores'}->{'bits'}->{$data->{'winning_model'}},
381 -start
=> $s+$qoffset,
384 -strand
=> ($s < $e ) ?
1 : -1,
387 my $hf = Bio
::SeqFeature
::Generic
->new
388 ( -primary_tag
=> $qf->primary_tag,
389 -source_tag
=> $qf->source_tag,
390 -score
=> $qf->score,
392 -start
=> $s + $hoffset,
393 -end
=> $e + $hoffset,
394 -strand
=> $qf->strand,
398 $f->add_tag_value('alignment_len', $data->{'alignment_len'});
399 $f->add_tag_value('alignment_pid', $data->{'alignment_pid'});
400 # store the other model scores and data
401 foreach my $model ( @Models ) {
402 $f->add_tag_value("$model\_score", $data->{'model_scores'}->{'bits'}->{$model});
403 $f->add_tag_value("$model\_logoddspost", $data->{'model_scores'}->{'logoddspost'}->{$model});
404 if( ! $data->{'model_location'}->{$model} ) {
405 if( $self->verbose > 0 ) {
406 $self->debug( $data->{'entry'} );
408 $self->throw("no location parsed for $model in ",
409 (map { @
$_ } @
{$data->{'seqs'}}), " ", $f->start, " ", $f->end);
411 $f->add_tag_value("$model\_positions",
412 join("..",@
{$data->{'model_location'}->{$model} }));
415 # probably a better way to store this - as
416 # a seq object perhaps
417 $f->add_tag_value('seq1', @
{$data->{'seqs'}->[0]});
418 $f->add_tag_value('seq2', @
{$data->{'seqs'}->[1]});
419 $f->add_tag_value('entry', $data->{'entry'}) if $self->verbose > 0;
420 if( $data->{'shuffled'} ) {
421 $f->add_tag_value('shuffled', $data->{'shuffled'});