Computational approaches to species phylogeny inference and gene tree reconciliation

dc.citation.firstpage719en_US
dc.citation.issueNumber12en_US
dc.citation.journalTitleTrends in Ecology & Evolutionen_US
dc.citation.lastpage728en_US
dc.citation.volumeNumber28en_US
dc.contributor.authorNakhleh, Luayen_US
dc.date.accessioned2014-12-15T17:34:21Zen_US
dc.date.available2014-12-15T17:34:21Zen_US
dc.date.issued2013en_US
dc.description.abstractAn intricate relationship exists between gene trees and species phylogenies, due to evolutionary processes that act on the genes within and across the branches of the species phylogeny. From an analytical perspective, gene trees serve as character states for inferring accurate species phylogenies, and species phylogenies serve as a backdrop against which gene trees are contrasted for elucidating evolutionary processes and parameters. In a 1997 paper, Maddison discussed this relationship, reviewed the signatures left by three major evolutionary processes on the gene trees, and surveyed parsimony and likelihood criteria for utilizing these signatures to computationally elucidate this relationship. Here, we review progress that has been made on developing computational methods for analyses under these two criteria, and survey remaining challenges.en_US
dc.identifier.citationNakhleh, Luay. "Computational approaches to species phylogeny inference and gene tree reconciliation." <i>Trends in Ecology & Evolution,</i> 28, no. 12 (2013) Elsevier: 719-728. http://dx.doi.org/10.1016/j.tree.2013.09.004.en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.tree.2013.09.004en_US
dc.identifier.urihttps://hdl.handle.net/1911/78742en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Elsevier.en_US
dc.titleComputational approaches to species phylogeny inference and gene tree reconciliationen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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