By Ziheng Yang

the sector of molecular evolution has skilled explosive progress in recent times as a result of speedy accumulation of genetic series facts, non-stop advancements to computing device and software program, and the improvement of refined analytical equipment. The expanding availability of enormous genomic facts units calls for robust statistical easy methods to examine and interpret them, producing either computational and conceptual demanding situations for the field.
Computational Molecular Evolution offers an updated and finished insurance of recent statistical and computational equipment utilized in molecular evolutionary research, akin to greatest probability and Bayesian facts. Yang describes the types, equipment and algorithms which are most precious for analysing the ever-increasing offer of molecular series info, so that it will furthering our figuring out of the evolution of genes and genomes. The booklet emphasizes crucial options fairly than
mathematical proofs. It contains specific derivations and implementation information, in addition to a variety of illustrations, labored examples, and routines. will probably be of relevance and use to scholars researchers (both empiricists and theoreticians) within the fields of molecular phylogenetics,
evolutionary biology, inhabitants genetics, arithmetic, facts and computing device technology. Biologists who've used phylogenetic software program courses to investigate their very own facts will locate the e-book fairly profitable, even though it should still attract somebody looking an authoritative review of this intriguing zone of computational biology.

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Computational Molecular Evolution (Oxford Series in Ecology and Evolution)

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