By Ziheng Yang

the sphere of molecular evolution has skilled explosive development lately because of the speedy accumulation of genetic series facts, non-stop advancements to laptop and software program, and the advance of refined analytical equipment. The expanding availability of enormous genomic information units calls for robust statistical how you can examine and interpret them, producing either computational and conceptual demanding situations for the field.
Computational Molecular Evolution offers an up to date and complete insurance of recent statistical and computational equipment utilized in molecular evolutionary research, resembling greatest probability and Bayesian data. Yang describes the versions, tools and algorithms which are most valuable for analysing the ever-increasing provide of molecular series information, in an effort to furthering our knowing of the evolution of genes and genomes. The publication emphasizes crucial options fairly than
mathematical proofs. It comprises specified derivations and implementation information, in addition to various illustrations, labored examples, and routines. it will likely be of relevance and use to scholars researchers (both empiricists and theoreticians) within the fields of molecular phylogenetics,
evolutionary biology, inhabitants genetics, arithmetic, data and desktop technology. Biologists who've used phylogenetic software program courses to investigate their very own facts will locate the e-book quite worthwhile, even though it should still attract someone looking an authoritative evaluate of this interesting region of computational biology.

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Computational Molecular Evolution (Oxford Series in Ecology and Evolution) by Ziheng Yang


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