CAFE: a computational tool for the study of gene family evolution

被引:1241
作者
De Bie, T
Cristianini, N
Demuth, JP
Hahn, MW
机构
[1] Indiana Univ, Dept Biol, Bloomington, IN 47405 USA
[2] Indiana Univ, Sch Informat, Bloomington, IN 47405 USA
[3] Katholieke Univ Leuven, OKP Res Grp, B-3000 Louvain, Belgium
[4] Univ Calif Davis, Dept Stat, Davis, CA 95616 USA
关键词
D O I
10.1093/bioinformatics/btl097
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We present CAFE (Computational Analysis of gene Family Evolution), a tool for the statistical analysis of the evolution of the size of gene families. It uses a stochastic birth and death process to model the evolution of gene family sizes over a phylogeny. For a specified phylogenetic tree, and given the gene family sizes in the extant species, CAFE can estimate the global birth and death rate of gene families, infer the most likely gene family size at all internal nodes, identify gene families that have accelerated rates of gain and loss (quantified by a p-value) and identify which branches cause the p-value to be small for significant families.
引用
收藏
页码:1269 / 1271
页数:3
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