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Molecular evolution : a statistical approach

Ziheng Yang - Personal Name;

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.


Availability
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4th Floor-i3L Library 572.838 Zih m
20150100223
Available
#
4th Floor-i3L Library 572.838 Zih m
20150100222
Available
#
4th Floor-i3L Library 572.838 Zih m
20150100221
Available
Detail Information
Series Title
-
Call Number
572.838 Zih m
Publisher
Oxford : Oxford University Press., 2014
Collation
xv, 492 p. : ill. : ind. ; 26 cm
Language
English
ISBN/ISSN
9780199602612
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
1st edition
Subject(s)
Molecular evolution--Statistical methods.
Molecular evolution--Mathematical models.
Phylogeny--Molecular aspects.
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

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Indonesia International Institute for Life Sciences - Learning Resources Center
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i3L Learning Resources Center (LRC) is vital part of your academic experience at Indonesia International Institute for Life-Sciences. LRC exists to support the teaching, learning and research programs of the Institute through the provision of high quality services and facilities which include access to a range of printed and digital resources primarily in the field of life-sciences and business. 

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