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

T De Bie, N Cristianini, JP Demuth, MW Hahn

Research output: Contribution to journalArticle (Academic Journal)peer-review

483 Citations (Scopus)

Abstract

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.
Translated title of the contributionCAFE: a computational tool for the study of gene family evolution
Original languageEnglish
Pages (from-to)1269 - 1271
JournalBioinformatics
Volume22
Publication statusPublished - 2006

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