Bioinformatics and Molecular Evolution [NOOK Book]

Overview

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 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 ...
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Bioinformatics and Molecular Evolution

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Overview

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 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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Editorial Reviews

From the Publisher
"Finally, it has arrived: The book I can confidently recommend to my students as the best in the field. That this single book has been able to cover so much is testimony to the dedication and quality of the authors." James McInerney, National University of Ireland

"Much of bioinformatics is based on, yet too often ignores, the underlying principles of molecular evolution. This well-written book provides a description of modern bioinformatics methods while providing the biology and evolutionary theory necessary to understand how, why, and when these methods work. This is essential reading for those interested in being either a bioinformatics developer or an informed user." Richard Goldstein, National Institute for Medical Research

"I like the text's balance; it is rigorous without being too formal, and has an accessible and broad coverage of topics from both a computer science and a biology perspective." Mohammad Zaki, Rensselaer Polytechnic Institute

"This book nicely integrates molecular evolution and bioinformatics, two disciplines that go hand in hand, as rightfully claimed by the authors. Many bioinformatics applications are based on principles of molecular evolution, and to study molecular evolution is unthinkable nowadays without having access to the necessary tools and implementations. This is an excellent book for both undergraduate and graduate students, as well as for anyone who wants to solve problems in molecular evolution and needs to know the practicalities." Yves Van de Peer, Ghent University, Belgium

"This book is actually fun! Fun, very educative, well organised, practical and easy to use...I wish this book had been published long ago." The British Toxicology Society Newsletter, November 2005

"...an excellent and current introduction to classical bioinformatics and an ideal core text for a Master's course in the subject." Comparative and Functional Genomics, November 2005

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Product Details

  • ISBN-13: 9781118697061
  • Publisher: Wiley
  • Publication date: 4/30/2013
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 384
  • File size: 10 MB

Meet the Author

Paul Higgs is currently the Canada Research Chair in Biophysics at McMaster University. Previously, he was the course director of the Bioinformatics MSc at Manchester University. He has a PhD in statistical physics from the University of Cambridge. His current research interests include RNA structure and sequence evolution, molecular phylogenetics, theoretical evolutionary biology, and population genetics.

Teresa Attwood is Professor of Bioinformatics at Manchester University, Visiting Fellow at the European Bioinformatics Institute, and author of the PRINTS protein fingerprint database. She has a PhD in biophysics from the University of Leeds, and now teaches national and international courses in bioinformatics. Her current research interests include protein sequence analysis, data visualization, and biomedical text mining.

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Table of Contents

1 Introduction : the revolution in biological information 1
2 Nucleic acids, proteins, and amino acids 12
3 Molecular evolution and population genetics 37
4 Models of sequence evolution 58
5 Information resources for genes and proteins 81
6 Sequence alignment algorithms 119
7 Searching sequence databases 139
8 Phylogenetic methods 158
9 Patterns in protein families 195
10 Probabilistic methods and machine learning 227
11 Further topics in molecular evolution and phylogenetics 257
12 Genome evolution 283
13 DNA microarrays and the 'omes 313
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