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New Methods to Calculate Concordance Factors for Phylogenomic Datasets

Minh, Bui Quang; Hahn, Matthew W.; Lanfear, Robert

Description

We implement two measures for quantifying genealogical concordance in phylogenomic data sets: the gene concordance factor (gCF) and the novel site concordance factor (sCF). For every branch of a reference tree, gCF is defined as the percentage of “decisive” gene trees containing that branch. This measure is already in wide usage, but here we introduce a package that calculates it while accounting for variable taxon coverage among gene trees. sCF is a new measure defined as the percentage of...[Show more]

dc.contributor.authorMinh, Bui Quang
dc.contributor.authorHahn, Matthew W.
dc.contributor.authorLanfear, Robert
dc.date.accessioned2021-02-21T22:36:05Z
dc.date.available2021-02-21T22:36:05Z
dc.identifier.issn0737-4038
dc.identifier.urihttp://hdl.handle.net/1885/223648
dc.description.abstractWe implement two measures for quantifying genealogical concordance in phylogenomic data sets: the gene concordance factor (gCF) and the novel site concordance factor (sCF). For every branch of a reference tree, gCF is defined as the percentage of “decisive” gene trees containing that branch. This measure is already in wide usage, but here we introduce a package that calculates it while accounting for variable taxon coverage among gene trees. sCF is a new measure defined as the percentage of decisive sites supporting a branch in the reference tree. gCF and sCF complement classical measures of branch support in phylogenetics by providing a full description of underlying disagreement among loci and sites. An easy to use implementation and tutorial is freely available in the IQ-TREE software package (http://www.iqtree.org/doc/ Concordance-Factor, last accessed May 13, 2020).
dc.description.sponsorshipThis work was supported by National Science Foundation (Grant No. DEB-1936187 to M.W.H.), an Australian National University Futures Grant (to R.L.), and an Australian Research Council (Grant No. DP200103151 to R.L., B.Q.M., and M.W.H.).
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherSociety for Molecular Biology Evolution
dc.rights© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution
dc.rights.urihttp://creativecommons.org/ licenses/by/4.0/
dc.sourceMolecular Biology and Evolution
dc.subjectphylogenetic inference
dc.subjectconcordance factor
dc.subjectphylogenomics
dc.titleNew Methods to Calculate Concordance Factors for Phylogenomic Datasets
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume37
dc.date.issued2020
local.identifier.absfor060102 - Bioinformatics
local.identifier.absfor060409 - Molecular Evolution
local.identifier.absfor010402 - Biostatistics
local.identifier.ariespublicationu9511635xPUB2058
local.publisher.urlhttp://mbe.oxfordjournals.org/
local.type.statusPublished Version
local.contributor.affiliationBui, Minh, College of Science, ANU
local.contributor.affiliationHahn, Matthew W., Indiana University
local.contributor.affiliationLanfear, Robert, College of Science, ANU
local.bibliographicCitation.issue9
local.bibliographicCitation.startpage2727
local.bibliographicCitation.lastpage2733
local.identifier.doi10.1093/molbev/msaa106
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.absseo970106 - Expanding Knowledge in the Biological Sciences
dc.date.updated2020-11-08T07:25:32Z
dcterms.accessRightsOpen Access
dc.provenanceThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.licenseCreative Commons Attribution License
CollectionsANU Research Publications

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