New Methods to Calculate Concordance Factors for Phylogenomic Datasets
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 me...
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Published in | Molecular biology and evolution Vol. 37; no. 9; pp. 2727 - 2733 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
Oxford University Press
01.09.2020
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Subjects | |
Online Access | Get full text |
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Summary: | 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 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). |
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Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Correspondence-1 content type line 14 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 |
ISSN: | 0737-4038 1537-1719 1537-1719 |
DOI: | 10.1093/molbev/msaa106 |