Gene family evolution: an in-depth theoretical and simulation analysis of non-linear birth-death-innovation models
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* Corresponding author: Eugene V Koonin koonin@ncbi.nlm.nih.gov
BMC Evolutionary Biology 2004, 4:32 doi:10.1186/1471-2148-4-32
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Methodology article
A Bayesian model for gene family evolution Liang Liu, Lili Yu, Venugopal Kalavacharla, Zhanji Liu BMC Bioinformatics 2011, 12:426 (1 November 2011) |
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Research
Universal features in the genome-level evolution of protein domains Marco Cosentino Lagomarsino, Alessandro L Sellerio, Philip D Heijning, Bruno Bassetti Genome Biology 2009, 10:R12 (30 January 2009) Novel protein domain stochastic duplication/innovation models that are independent of genome-specific features are used to interpret global trends of genome evolution. |