Computational Molecular Evolution

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ID: 301342
2006
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Abstract
Abstract The field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical methods. The increasing availability of large genomic data sets requires powerful statistical methods to analyse and interpret them, generating both computational and conceptual challenges for the field. This book provides a comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. It describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes. The book emphasizes essential concepts rather than mathematical proofs. It includes detailed derivations and implementation details, as well as numerous illustrations, worked examples, and exercises.
Reference Key
openalex_W4230357098 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ziheng Yang
Journal Oxford University Press eBooks
Year 2006
DOI
10.1093/acprof:oso/9780198567028.001.0001
URL
https://doi.org/10.1093/acprof:oso/9780198567028.001.0001
Keywords Keywords not found

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