Friday, 28 June 2013

Statistical Methods in Molecular Evolution

Statistical Methods in Molecular Evolution



Statistical Methods in Molecular Evolution (Statistics for Biology and Health)



In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. Get and download textbook Statistical Methods in Molecular Evolution (Statistics for Biology and Health) for free
Categories: Evolution, Molecular evolution->Statistical methods. Contributors: Rasmus Nielsen - Author. Format: Hardcover
With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study in genomics and bioinformatics. Most studies in molecular evolution rely heavily on statistical procedures based on stochastic process modelling and advanced computational methods including high-dimensional numerical optimization and Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes an introductory section suitable for readers that are new to the field Statistical Methods in Molecular Evolution new edition

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Statistical Methods in Molecular Evolution: Rasmus Nielsen

format hardback language english publication year 31 05 2005 series statistics for biology and health subject mathematics sciences subject 2 life sciences general title statistical methods in molecular evolution author nielsen rasmus editor publisher springer verlag publication date jun 01 2005 pages 504 binding hardcover dimensions 6 75 wx 9 75 hx 1 25 d isbn 0387223339 subject science life sciences biology molecular biology description in the field of molecular evolution inferences about pas

Statistical Methods in Molecular Evolution, ISBN-13: 9780387223339, ISBN-10: 0387223339

Statistical Methods in Molecular Evolution Springer 9781441919724 09781441919724



Statistical Methods in Molecular Evolution Textbook



It includes an introductory section suitable for readers that are new to the field

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