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Can I read Computational Molecular Evolution (Oxford Series in Ecology and Evolution) on EtoBox?
Computational Molecular Evolution (Oxford Series in Ecology and Evolution) by Ziheng Yang is a nonfiction available to read on EtoBox.
What is Computational Molecular Evolution (Oxford Series in Ecology and Evolution) about?
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 analyze and interpret them, generating both computational and conceptual challenges for the field. Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. Yang 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. It will be of relevance and use to students and professional researchers (both empiricists and theoreti
Who reads Computational Molecular Evolution (Oxford Series in Ecology and Evolution)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ziheng Yang
- Publisher
- Oxford University PressOxford
- Published
- 2006
- Language
- EN
- ISBN
- 9780191728280
- Category
- nonfiction
- Subjects
- Science, Mathematics, Biology
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