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9788181286109- 5c680acfb27f7334cbb3e9b8 Statistical Methods in Molecular Evolution https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/ms.products/5c680acfb27f7334cbb3e9b8/images/5c680acfb27f7334cbb3e9b9/5c680ad2b27f7334cbb3e9c2/5c680ad2b27f7334cbb3e9c2.jpg In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. 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.

This book is suitable for statisticians seeking to learn more about application in molecular evolution and molecular evolutionary biologists with an interest in learning more about the theory behind the statistical methods applied in the field. The chapters of the book assume no advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. Most relevant statistical concepts are introduced in the book in the context of their application in molecular evolution and the book should be accessible for most biology graduate students with an interest in quantitative methods and theory.
9788181286109-
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Statistical Methods in Molecular Evolution

Statistical Methods in Molecular Evolution

Author: Nielsons, Rasmus

Brand: New Age International Pvt. Ltd

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In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. 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.

This book is suitable for statisticians seeking to learn more about application in molecular evolution and molecular evolutionary biologists with an interest in learning more about the theory behind the statistical methods applied in the field. The chapters of the book assume no advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. Most relevant statistical concepts are introduced in the book in the context of their application in molecular evolution and the book should be accessible for most biology graduate students with an interest in quantitative methods and theory.

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