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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical)
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Computational Molecular Evolution (Hardcover)
Loot Price: R4,572
Discovery Miles 45 720
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Computational Molecular Evolution (Hardcover)
Series: Oxford Series in Ecology and Evolution
Expected to ship within 12 - 19 working days
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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.
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 theoreticians) in
the fields of molecular phylogenetics, evolutionary biology,
population genetics, mathematics, statistics and computer science.
Biologists who have used phylogenetic software programs to analyze
their own data will find the book particularly rewarding, although
it should appeal to anyone seeking an authoritative overview of
this exciting area of computational biology.
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