Bioinformatics and Molecular Evolution

Bioinformatics and Molecular Evolution
by Paul G. Higgs, Teresa K. Attwood

Bioinformatics and Molecular Evolution
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Book Summary Information

Author: Paul G. Higgs, Teresa K. Attwood
Edition: Paperback
Audio: English (Original Language); English (Unknown); English (Published)
Published: 2005-02-18
ISBN: 1405106832
Number of pages: 384
Publisher: Wiley-Blackwell

Book Reviews of Bioinformatics and Molecular Evolution

Book Review: Excellent book
Summary: 5 Stars

I think this is one of the best books I have read on molecular evolution. The explanations are lucid. Easy to understand examples are given in increasing order of complexity.
The book is not restricted to molecular evolution itself but covers a wide range of topics. I highly recommend it!

Summary of Bioinformatics and Molecular Evolution

In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology.


This accessible text:



  • provides a thorough examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomics



  • emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science students



  • places bioinformatics in the context of evolutionary biology, including population genetics, molecular evolution, molecular phylogenetics, and their applications



  • features end-of-chapter problems and self-tests to help students synthesize the materials and apply their understanding



  • is accompanied by a dedicated website - www.blackwellpublishing.com/higgs - containing downloadable sequences, links to web resources, answers to self-test questions, and all artwork in downloadable format (artwork also available to instructors on CD-ROM).


This important textbook will equip readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics courses.

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