Linked Life Data

20551134

Source:http://linkedlifedata.com/resource/pubmed/id/20551134

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
15
pubmed:dateCreated
2010-7-19
pubmed:abstractText
SUMMARY: Count is a software package for the analysis of numerical profiles on a phylogeny. It is primarily designed to deal with profiles derived from the phyletic distribution of homologous gene families, but is suited to study any other integer-valued evolutionary characters. Count performs ancestral reconstruction, and infers family- and lineage-specific characteristics along the evolutionary tree. It implements popular methods employed in gene content analysis such as Dollo and Wagner parsimony, propensity for gene loss, as well as probabilistic methods involving a phylogenetic birth-and-death model. AVAILABILITY: Count is available as a stand-alone Java application, as well as an application bundle for MacOS X, at the web site http://www.iro.umontreal.ca/ approximately csuros/gene_content/count.html. It can also be launched using Java Webstart from the same site. The software is distributed under a BSD-style license. Source code is available upon request from the author.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1910-2
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Count: evolutionary analysis of phylogenetic profiles with parsimony and likelihood.
pubmed:affiliation
Department of Computer Science and Operations Research, University of Montréal, Montréal, Québec, Canada. csuros@iro.umontreal.ca
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't