Linked Life Data

19101058

Source:http://linkedlifedata.com/resource/pubmed/id/19101058

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2009-1-26
pubmed:abstractText
Coalescent genealogy samplers attempt to estimate past qualities of a population, such as its size, growth rate, patterns of gene flow or time of divergence from another population, based on samples of molecular data. Genealogy samplers are increasingly popular because of their potential to disentangle complex population histories. In the last decade they have been widely applied to systems ranging from humans to viruses. Findings include detection of unexpected reproductive inequality in fish, new estimates of historical whale abundance, exoneration of humans for the prehistoric decline of bison and inference of a selective sweep on the human Y chromosome. This review summarizes available genealogy-sampler software, including data requirements and limitations on the use of each program.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0169-5347
pubmed:author
pubmed:issnType
Print
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
86-93
pubmed:dateRevised
2011-5-3
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Coalescent genealogy samplers: windows into population history.
pubmed:affiliation
Department of Genome Sciences, University of Washington, Seattle, WA 98195-5065, USA. mkkuhner@u.washington.edu
pubmed:publicationType
Journal Article, Review, Research Support, N.I.H., Extramural