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Gain-loss-duplication models for copy number evolution on a phylogeny: Exact algorithms for computing the likelihood and its gradient

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  • Csűrös, Miklós

Abstract

Gene gain-loss-duplication models are commonly based on continuous-time birth–death processes. Employed in a phylogenetic context, such models have been increasingly popular in studies of gene content evolution across multiple genomes. While the applications are becoming more varied and demanding, bioinformatics methods for probabilistic inference on copy numbers (or integer-valued evolutionary characters, in general) are scarce.

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  • Csűrös, Miklós, 2022. "Gain-loss-duplication models for copy number evolution on a phylogeny: Exact algorithms for computing the likelihood and its gradient," Theoretical Population Biology, Elsevier, vol. 145(C), pages 80-94.
    • Handle: RePEc:eee:thpobi:v:145:y:2022:i:c:p:80-94
    DOI: 10.1016/j.tpb.2022.03.003
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    1. repec:bla:biomet:v:71:y:2015:i:4:p:1009-1021 is not listed on IDEAS
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