Computational Molecular Evolution

作者: Ziheng Yang

DOI:

关键词:

摘要: Book description:* Authored by a world-renowned specialist in the field * Adopts statistical approach to phylogenetics Web-based example data sets used clarify theory Emphasises models and methods designed for understanding evolutionary process of genes genomes Ideal graduate seminar course material The field molecular evolution has experienced explosive growth recent years due rapid accumulation genetic sequence data, continuous improvements computer hardware software, development sophisticated analytical methods. The increasing availability large genomic requires powerful analyse interpret them, generating both computational conceptual challenges field. Computational Molecular Evolution provides an up-to-date comprehensive coverage modern analysis, such as maximum likelihood Bayesian statistics. Yang describes models, algorithms that are most useful analysing ever-increasing supply with view furthering our genomes. book emphasizes essential concepts rather than mathematical proofs. It includes detailed derivations implementation details, well numerous illustrations, worked examples, exercises. will be relevance use students professional researchers (both empiricists theoreticians) fields phylogenetics, biology, population genetics, mathematics, statistics science. Biologists who have phylogenetic software programs analyze their own find particularly rewarding, although it should appeal anyone seeking authoritative overview this exciting area biology. Readership: An advanced textbook suitable level mathematics

参考文章(0)