Computational Molecular Evolution (Oxford Series in Ecology and Evolution)

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9780198567028: Computational Molecular Evolution (Oxford Series in Ecology and Evolution)
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What sets this books apart is the authority and thoughtfulness with which it is written, the thorough coverage of the relevant literature, and the great care that has been taken in the computational examples to compare different methods on the same set of data, and to present the results clearly. It will be an invaluable resource both for new graduate students and established researchers. It will be a major source for insight and enormously helpful for anyone who wants to understand molecular phylogenies. ( The Quarterly Review of Biology)

Reseña del editor:

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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Ziheng Yang
Editorial: Oxford University Press, United Kingdom (2006)
ISBN 10: 0198567022 ISBN 13: 9780198567028
Nuevos Paperback Cantidad: 1
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The Book Depository
(London, Reino Unido)
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Descripción Oxford University Press, United Kingdom, 2006. Paperback. Estado de conservación: New. 231 x 155 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería LIB9780198567028

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Yang, Ziheng
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ISBN 10: 0198567022 ISBN 13: 9780198567028
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Descripción OUP Oxford 2006-10-05, 2006. Estado de conservación: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Nº de ref. de la librería NU-LBR-00553862

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Ziheng Yang
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Descripción Oxford University Press, United Kingdom, 2006. Paperback. Estado de conservación: New. 231 x 155 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería LIB9780198567028

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Ziheng Yang
Editorial: Oxford University Press 2006-10-05, Oxford (2006)
ISBN 10: 0198567022 ISBN 13: 9780198567028
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Descripción Oxford University Press 2006-10-05, Oxford, 2006. paperback. Estado de conservación: New. Nº de ref. de la librería 9780198567028

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Ziheng Yang
Editorial: Oxford University Press, USA (2006)
ISBN 10: 0198567022 ISBN 13: 9780198567028
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Descripción Oxford University Press, USA, 2006. Paperback. Estado de conservación: New. Nº de ref. de la librería SONG0198567022

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Yang, Ziheng
Editorial: OUP Oxford (2006)
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Descripción OUP Oxford, 2006. Estado de conservación: New. Nº de ref. de la librería L9780198567028

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Yang, Ziheng
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Descripción OUP Oxford, 2006. PAP. Estado de conservación: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería LQ-9780198567028

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Ziheng Yang
Editorial: Oxford University Press Nov 2006 (2006)
ISBN 10: 0198567022 ISBN 13: 9780198567028
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Descripción Oxford University Press Nov 2006, 2006. Taschenbuch. Estado de conservación: Neu. 234x157x25 mm. Neuware - 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. 328 pp. Englisch. Nº de ref. de la librería 9780198567028

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Yang, Ziheng
Editorial: OUP Oxford (2016)
ISBN 10: 0198567022 ISBN 13: 9780198567028
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Descripción OUP Oxford, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9780198567028_lsuk

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Ziheng Yang
Editorial: Oxford University Press Nov 2006 (2006)
ISBN 10: 0198567022 ISBN 13: 9780198567028
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Rheinberg-Buch
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Descripción Oxford University Press Nov 2006, 2006. Taschenbuch. Estado de conservación: Neu. 234x157x25 mm. Neuware - 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. 328 pp. Englisch. Nº de ref. de la librería 9780198567028

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