Cited by 1,790Genomics and Phylogenetic StudiesChromosomal and Genetic VariationsEvolution and Paleontology Studies

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

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De Bie, Tijl, Cristianini, Nello, Demuth, Jeffery P., Hahn, Matthew W.·2006·Bioinformatics

Abstract

Summary: 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. Availability: Software is available from Contact: mwh@indiana.edu

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  1. Lauritzen,S.L. (1996) Graphical Models. Clarendon Press, Oxford, UK.

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Authors
De Bie, T., Cristianini, N., Demuth, J. P., & Hahn, M. W.
Affiliations
  • K.U.Leuven, OKP Research Group 1   1     Tiensestraat 102, 3000 Leuven, Belgium
  • University of California, Davis (US)
  • Indiana University Bloomington (US)
Corresponding author
Hahn, Matthew W.
Venue
Bioinformatics
Published
2006-03-16
Volume
22
Issue
10
Pages
1269-1271
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2122821321
Cited by
1,790
References
0
Citations by year
2026: 127 · 2025: 167 · 2024: 189 · 2023: 212 · 2022: 284 · 2021: 269 · 2020: 182 · 2019: 88 · 2018: 54 · 2017: 31 · 2016: 37 · 2015: 26 · 2014: 29 · 2013: 18 · 2012: 21
FWCI
3.40
Type
journal article
Language
en
Locations
  • Bioinformatics (publishedVersion)
  • PubMed (publishedVersion)
  • Bristol Research (University of Bristol) (submittedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion)
  • Explore Bristol Research (submittedVersion)
Funders
  • National Science Foundation (0528465)
  • National Institutes of Health
  • National Human Genome Research Institute (R33HG003070)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
  • Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
Keywords
gene family evolution, gene family size, birth-death processes, phylogenetic tree, gene gain and loss, stochastic modeling, gene family expansion and contraction
MeSH terms
Algorithms, Chromosome Mapping, DNA Mutational Analysis, Multigene Family, Phylogeny, Software, User-Computer Interface, Genetic Variation, Evolution, Molecular

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