Operational Analysis of Parallel Servers


 
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Old 01-22-2009
Operational Analysis of Parallel Servers

HPL-2009-8 Operational Analysis of Parallel Servers - Kelly, Terence; Shen, Kai; Zhang, Alex; Stewart, Christopher
Keyword(s): performance modeling, performance prediction, capacity planning, system management, operational analysis, multicore processors, capacity adjustment ACPI C-states, parallel computing, occupancy curve
Abstract: Multicore processors promise continued hardware performance improvements even as single-core performance flattens out. However they also enable increasingly complex application software that threatens to obfuscate application-level performance. This paper applies operational analysis to the problem ...
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Bio::Tools::Analysis::DNA::ESEfinder(3pm)		User Contributed Perl Documentation		 Bio::Tools::Analysis::DNA::ESEfinder(3pm)

NAME
Bio::Tools::Analysis::DNA::ESEfinder - a wrapper around ESEfinder server SYNOPSIS
use Bio::Tools::Analysis::DNA::ESEfinder; use strict; my $seq; # a Bio::PrimarySeqI or Bio::SeqI object $seq = Bio::Seq->new( -primary_id => 'test', -seq=>'atgcatgctaggtgtgtgttttgtgggttgtactagctagtgat'. -alphabet=>'dna'); my $ese_finder = Bio::Tools::Analysis::DNA::ESEfinder-> new(-seq => $seq); # run ESEfinder prediction on a DNA sequence $ese_finder->run(); die "Could not get a result" unless $ese_finder->status =~ /^COMPLETED/; print $ese_finder->result; # print raw prediction to STDOUT foreach my $feat ( $ese_finder->result('Bio::SeqFeatureI') ) { # do something to SeqFeature # e.g. print as GFF print $feat->gff_string, " "; # or store within the sequence - if it is a Bio::SeqI $seq->add_SeqFeature($feat) } DESCRIPTION
This class is a wrapper around the ESEfinder web server which uses experimentally defined scoring matrices to identify possible exonic splicing enhancers in human transcripts. The results can be retrieved in 4 ways. 1. "$ese_finder->result('')" retrieves the raw text output of the program 2. "$ese_finder->result('all')" returns a Bio::Seq::Meta::Array object with prediction scores for all residues in the sequence 3. "$ese_finder->result('Bio::SeqFeatureI')" returns an array of Bio::SeqFeature objects for sequences with significant scores. Feature tags are score, motif, SR_protein and method 4. "$ese_finder->result('raw')" returns an array of significant matches with each element being a reference to [SR_protein, position, motif, score] See <http://rulai.cshl.edu/tools/ESE2/> This the second implentation of Bio::SimpleAnalysisI which hopefully will make it easier to write wrappers on various services. This class uses a web resource and therefore inherits from Bio::WebAgent. SEE ALSO
Bio::SimpleAnalysisI, Bio::WebAgent 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 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 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 the bugs and their resolution. Bug reports can be submitted via the web: https://redmine.open-bio.org/projects/bioperl/ AUTHORS
Richard Adams, Richard.Adams@ed.ac.uk, Heikki Lehvaslaiho, heikki-at-bioperl-dot-org APPENDIX
The rest of the documentation details each of the object methods. Internal methods are usually preceded with a _ perl v5.14.2 2012-03-02 Bio::Tools::Analysis::DNA::ESEfinder(3pm)