Molecular Evolution: A Statistical Approach

4,6 valoración promedio
( 5 valoraciones por GoodReads )
 
9780199602605: Molecular Evolution: A Statistical Approach
Review:

I think Molecular Evolution: A Statistical Approach would also work very well as a text for a graduate level course in statistical phylogenetics ... The exercises at the end of each chapterwould be useful for academics anting to use the book as a course textquestions cover an interesting range of problems that would get the class both thinking and programming. ( Barbara R. Holland, Systematic Biology)

Written by an expert in the field, the book emphasizes conceptual understanding ... aimed at graduate level students and professional researchers ( Biotechnology, Agronomy, Society and Environment)

Review:

Written by an expert in the field, the book emphasizes conceptual understanding ... aimed at graduate level students and professional researchers ( Biotechnology, Agronomy, Society and Environment)

"Sobre este título" puede pertenecer a otra edición de este libro.

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1.

Yang, Ziheng
ISBN 10: 0199602603 ISBN 13: 9780199602605
Nuevos Cantidad: 1
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Speedy Hen LLC
(Sunrise, FL, Estados Unidos de America)
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Descripción Estado de conservación: New. Bookseller Inventory # ST0199602603. Nº de ref. de la librería ST0199602603

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2.

Yang, Ziheng
Editorial: Oxford University Press, United Kingdom (2014)
ISBN 10: 0199602603 ISBN 13: 9780199602605
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The Book Depository US
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Descripción Oxford University Press, United Kingdom, 2014. Hardback. Estado de conservación: New. 248 x 196 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAZ9780199602605

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3.

Yang, Ziheng
Editorial: Oxford University Press (2014)
ISBN 10: 0199602603 ISBN 13: 9780199602605
Nuevos Tapa dura Primera edición Cantidad: 1
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Descripción Oxford University Press, 2014. Estado de conservación: New. The book focuses on molecular evolution and phylogenetics, dealing with the statistical methods of data analysis implemented in commonly-used computer software. Num Pages: 512 pages, illustrations (black and white). BIC Classification: PBT; PSAJ; PSD; UFM. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 253 x 192 x 32. Weight in Grams: 1146. . 2014. 1st Edition. Hardcover. . . . . . Nº de ref. de la librería V9780199602605

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4.

Yang, Ziheng
Editorial: Oxford University Press, United Kingdom (2014)
ISBN 10: 0199602603 ISBN 13: 9780199602605
Nuevos Tapa dura Cantidad: 1
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The Book Depository
(London, Reino Unido)
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[?]

Descripción Oxford University Press, United Kingdom, 2014. Hardback. Estado de conservación: New. 248 x 196 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAZ9780199602605

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5.

Yang, Ziheng
Editorial: Oxford University Press
ISBN 10: 0199602603 ISBN 13: 9780199602605
Nuevos Tapa dura Cantidad: 1
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THE SAINT BOOKSTORE
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Descripción Oxford University Press. Hardback. Estado de conservación: new. BRAND NEW, Molecular Evolution: A Statistical Approach, Ziheng Yang, 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. Nº de ref. de la librería B9780199602605

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6.

Yang, Ziheng
Editorial: OUP Oxford (2014)
ISBN 10: 0199602603 ISBN 13: 9780199602605
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Green Books
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Descripción OUP Oxford, 2014. Hardcover. Estado de conservación: New. Brand New Book. Shipping: Once your order has been confirmed and payment received, your order will then be processed. The book will be located by our staff, packaged and despatched to you as quickly as possible. From time to time, items get mislaid en route. If your item fails to arrive, please contact us first. We will endeavour to trace the item for you and where necessary, replace or refund the item. Please do not leave negative feedback without contacting us first. All orders will be dispatched within two working days. If you have any quesions please contact us. Nº de ref. de la librería V9780199602605

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Yang, Ziheng
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Descripción Hardback. Estado de conservación: New. Not Signed; 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 ac. book. Nº de ref. de la librería ria9780199602605_rkm

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Yang, Ziheng
Editorial: Oxford University Press
ISBN 10: 0199602603 ISBN 13: 9780199602605
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Descripción Oxford University Press. Estado de conservación: New. The book focuses on molecular evolution and phylogenetics, dealing with the statistical methods of data analysis implemented in commonly-used computer software. Num Pages: 512 pages, illustrations (black and white). BIC Classification: PBT; PSAJ; PSD; UFM. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 253 x 192 x 32. Weight in Grams: 1146. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780199602605

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Yang, Ziheng
Editorial: Oxford Univ Pr (2014)
ISBN 10: 0199602603 ISBN 13: 9780199602605
Nuevos Tapa dura Cantidad: 1
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Revaluation Books
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Descripción Oxford Univ Pr, 2014. Hardcover. Estado de conservación: Brand New. 1st edition. 512 pages. 9.75x7.75x1.50 inches. In Stock. Nº de ref. de la librería __0199602603

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Yang, Ziheng
Editorial: OUP Oxford (2014)
ISBN 10: 0199602603 ISBN 13: 9780199602605
Nuevos Tapa dura Cantidad: 1
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English-Book-Service Mannheim
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Descripción OUP Oxford, 2014. Estado de conservación: New. Nº de ref. de la librería GA9780199602605

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