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Molecular Evolution : A Statistical Approach

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Title: Molecular Evolution : A Statistical Approach
Description: Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and interpretation. Molecular Evolution: a statistical approach presents and explains modern statistical methods and computational algorithms for the comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, statistical phylogeography, and comparative genomics. Written by an expert in the field, the book emphasizes conceptual understanding rather than mathematical proofs. The text is enlivened with numerous examples of real data analysis and numerical calculations to illustrate the theory, in addition to the working problems at the end of each chapter. The coverage of maximum likelihood and Bayesian methods are in particular up-to-date, comprehensive, and authoritative. This advanced textbook is aimed at graduate level students and professional researchers (both empiricists and theoreticians) in the fields of bioinformatics and computational biology, statistical genomics, evolutionary biology, molecular systematics, and population genetics. It will also be of relevance and use to a wider audience of applied statisticians, mathematicians, and computer scientists working in computational biology.
Authors: Ziheng Yang
Resource Type: eBook.
Subjects: Phylogeny--Molecular aspects, Phylogeny, Molecular evolution--Mathematical models, Molecular evolution--Statistical methods
Categories: SCIENCE / Life Sciences / Evolution
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1201167
RelevancyScore: 1057
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1057.36352539063
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  Data: Molecular Evolution : A Statistical Approach
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  Data: Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and interpretation. Molecular Evolution: a statistical approach presents and explains modern statistical methods and computational algorithms for the comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, statistical phylogeography, and comparative genomics. Written by an expert in the field, the book emphasizes conceptual understanding rather than mathematical proofs. The text is enlivened with numerous examples of real data analysis and numerical calculations to illustrate the theory, in addition to the working problems at the end of each chapter. The coverage of maximum likelihood and Bayesian methods are in particular up-to-date, comprehensive, and authoritative. This advanced textbook is aimed at graduate level students and professional researchers (both empiricists and theoreticians) in the fields of bioinformatics and computational biology, statistical genomics, evolutionary biology, molecular systematics, and population genetics. It will also be of relevance and use to a wider audience of applied statisticians, mathematicians, and computer scientists working in computational biology.
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  Data: <searchLink fieldCode="AR" term="%22Ziheng+Yang%22">Ziheng Yang</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Phylogeny--Molecular+aspects%22">Phylogeny--Molecular aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Phylogeny%22">Phylogeny</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+evolution--Mathematical+models%22">Molecular evolution--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+evolution--Statistical+methods%22">Molecular evolution--Statistical methods</searchLink>
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RecordInfo BibRecord:
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    Classifications:
      – Code: 572.838
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Phylogeny--Molecular aspects
        Type: general
      – SubjectFull: Phylogeny
        Type: general
      – SubjectFull: Molecular evolution--Mathematical models
        Type: general
      – SubjectFull: Molecular evolution--Statistical methods
        Type: general
    Titles:
      – TitleFull: Molecular Evolution : A Statistical Approach
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Ziheng Yang
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          Name:
            NameFull: Ziheng Yang
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2014
            – D: 14
              M: 10
              Type: profile
              Y: 2016
          Identifiers:
            – Type: isbn-print
              Value: 9780191023316
            – Type: isbn-print
              Value: 9780199602605
            – Type: isbn-print
              Value: 9780199602612
            – Type: isbn-electronic
              Value: 9780191023309
          Titles:
            – TitleFull: Molecular Evolution : A Statistical Approach
              Type: main
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