tribemcl
Sponsored Links
Sponsored Links
Secleted [ 0 ] software to compare
Results 1 - 15 of about 1
Bio::Tools::Run::TribeMCL 1.4
Bio::Tools::Run::TribeMCL is a method for clustering proteins into related groups, which are termed protein families. more>>
Bio::Tools::Run::TribeMCL is a method for clustering proteins into related groups, which are termed protein families.
SYNOPSIS
use Bio::Tools::Run::TribeMCL;
use Bio::SearchIO;
# 3 methods to input the blast results
# straight forward raw blast output (NCBI or WU-BLAST)
my @params = (inputtype=>blastfile);
# OR
# markov program format
# protein_id1 protein_id2 evalue_magnitude evalue_factor
# for example:
# proteins ENSP00000257547 and ENSP00000261659
# with a blast score evalue of 1e-50
# and proteins O42187 and ENSP00000257547
# with a blast score evalue of 1e-119
# entry would be
my @array = [[qw(ENSP00000257547 ENSP00000261659 1 50)],
[qw(O42187 ENSP00000257547 1 119)]];
my @params = (pairs=>@array,I=>2.0);
# OR
# pass in a searchio object
# slowest of the 3 methods as it does more rigourous parsing
# than required for us here
my $sio = Bio::SearchIO->new(-format=>blast,
-file=>blast.out);
my @params=(inputtype=>searchio,I=>2.0);
# you can specify the path to the executable manually in the following way
my @params=(inputtype=>blastfile,I=>2.0,
mcl=>/home/shawn/software/mcl-02-150/src/shmcl/mcl,
matrix=>/home/shawn/software/mcl-02-150/src/contrib/tribe/tribe-matrix);
my $fact = Bio::Tools::Run::TribeMCL->new(@params);
# OR
$fact->matrix_executable(/home/shawn/software/mcl-02-150/src/contrib/tribe/tribe-matrix);
$fact->mcl_executable(/home/shawn/software/mcl-02-150/src/shmcl/mcl);
# to run
my $fact = Bio::Tools::Run::TribeMCL->new(@params);
# Run the program
# returns an array reference to clusters where members are the ids
# for example :2 clusters with 3 members per cluster:
# $fam = [ [mem1 mem2 mem3],[mem1 mem2 mem3]]
# pass in either the blastfile path/searchio obj/the array ref to scores
my $fam = $fact->run($sio);
# print out your clusters
for (my $i = 0; $i
print "Cluster $i t ".scalar(@{$fam->[$i]})." membersn";
foreach my $member (@{$fam->[$i]}){
print "t$membern";
}
}
This clustering is achieved by analysing similarity patterns between proteins in a given dataset, and using these patterns to assign proteins into related groups. In many cases, proteins in the same protein family will have similar functional properties.
Enhancements:
- Perl
<<lessSYNOPSIS
use Bio::Tools::Run::TribeMCL;
use Bio::SearchIO;
# 3 methods to input the blast results
# straight forward raw blast output (NCBI or WU-BLAST)
my @params = (inputtype=>blastfile);
# OR
# markov program format
# protein_id1 protein_id2 evalue_magnitude evalue_factor
# for example:
# proteins ENSP00000257547 and ENSP00000261659
# with a blast score evalue of 1e-50
# and proteins O42187 and ENSP00000257547
# with a blast score evalue of 1e-119
# entry would be
my @array = [[qw(ENSP00000257547 ENSP00000261659 1 50)],
[qw(O42187 ENSP00000257547 1 119)]];
my @params = (pairs=>@array,I=>2.0);
# OR
# pass in a searchio object
# slowest of the 3 methods as it does more rigourous parsing
# than required for us here
my $sio = Bio::SearchIO->new(-format=>blast,
-file=>blast.out);
my @params=(inputtype=>searchio,I=>2.0);
# you can specify the path to the executable manually in the following way
my @params=(inputtype=>blastfile,I=>2.0,
mcl=>/home/shawn/software/mcl-02-150/src/shmcl/mcl,
matrix=>/home/shawn/software/mcl-02-150/src/contrib/tribe/tribe-matrix);
my $fact = Bio::Tools::Run::TribeMCL->new(@params);
# OR
$fact->matrix_executable(/home/shawn/software/mcl-02-150/src/contrib/tribe/tribe-matrix);
$fact->mcl_executable(/home/shawn/software/mcl-02-150/src/shmcl/mcl);
# to run
my $fact = Bio::Tools::Run::TribeMCL->new(@params);
# Run the program
# returns an array reference to clusters where members are the ids
# for example :2 clusters with 3 members per cluster:
# $fam = [ [mem1 mem2 mem3],[mem1 mem2 mem3]]
# pass in either the blastfile path/searchio obj/the array ref to scores
my $fam = $fact->run($sio);
# print out your clusters
for (my $i = 0; $i
print "Cluster $i t ".scalar(@{$fam->[$i]})." membersn";
foreach my $member (@{$fam->[$i]}){
print "t$membern";
}
}
This clustering is achieved by analysing similarity patterns between proteins in a given dataset, and using these patterns to assign proteins into related groups. In many cases, proteins in the same protein family will have similar functional properties.
Enhancements:
- Perl
Download (0.81MB)
Added: 2007-02-22 License: Perl Artistic License Price:
975 downloads
Secleted [ 0 ] software to compare
- Page: 1 of 1
- 1
Copyright Notice:
Software piracy is theft, Using crack, password, serial numbers, registration codes, key generators is illegal and prevent future software development. The above tribemcl search only lists software in full, demo and trial versions for free download. Download links are directly from our mirror sites or publisher sites, torrent files or links from rapidshare.com, yousendit.com or megaupload.com are not allowed