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Problems and Solutions in Biological Sequence Analysis

$68.99 (P)

  • Date Published: September 2006
  • availability: Available
  • format: Paperback
  • isbn: 9780521612302

$ 68.99 (P)
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About the Authors
  • This book is the first of its kind to provide a large collection of bioinformatics problems with accompanying solutions. Notably, the problem set includes all of the problems offered in Biological Sequence Analysis (BSA), by Durbin et al., widely adopted as a required text for bioinformatics courses at leading universities worldwide. Although many of the problems included in BSA as exercises for its readers have been repeatedly used for homework and tests, no detailed solutions for the problems were available. Bioinformatics instructors had therefore frequently expressed a need for fully worked solutions and a larger set of problems for use on courses. This book provides just that: following the same structure as BSA and significantly extending the set of workable problems it will facilitate a better understanding of the contents of the chapters in BSA and will help its readers develop problem solving skills that are vitally important for conducting successful research in the growing field of bioinformatics. All of the material has been class-tested by the authors at Georgia Tech, where the first ever M.Sc. degree program in Bioinformatics was held. MARK BORODOVSKY is the Regents' Professor of Biology and Biomedical Engineering and Director of the Center for Bioinformatics and Computational Biology at Georgia Institute of Technology in Atlanta. He is the founder of the Georgia Tech M.Sc. and Ph.D. degree programs in Bioinformatics. His research interests are in bioinformatics and systems biology. He has taught Bioinformatics courses since 1994. SVETLANA EKISHEVA is a Research Scientist at the School of Biology, Georgia Institute of Technology, Atlanta. Her research interests are in bioinformatics, applied statistics and stochastic processes. Her expertise includes teaching probability theory and statistics at universities in Russia and in the USA.

    • Follows the same structure as Biological Sequence Analysis (BSA) providing detailed explanations of the solutions in BSA, an introduction to each section and some additional background to probability
    • Provides a resource of worked examples and additional problems to complement the more theoretical BSA text to aid student understanding
    • Material developed by an experienced instructor who has used BSA on his course since its publication and has class tested the supplementary material over the past five years
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    Product details

    • Date Published: September 2006
    • format: Paperback
    • isbn: 9780521612302
    • length: 360 pages
    • dimensions: 245 x 175 x 18 mm
    • weight: 0.713kg
    • contains: 27 b/w illus. 27 tables 172 exercises
    • availability: Available
  • Table of Contents

    Preface
    1. Introduction
    2. Pairwise alignment
    3. Markov chains and hidden Markov models
    4. Pairwise alignment using HMMs
    5. Profile HMMs for sequence families
    6. Multiple sequence alignment methods
    7. Building phylogenetic trees
    8. Probabilistic approaches to phylogeny
    9. Transformational grammars
    10. RNA structure analysis
    11. Background on probability.

  • Instructors have used or reviewed this title for the following courses

    • Algorithms in Bioinfomatics
    • Biological Sequence Analysis: methods and applications
    • Comput Bioinformatics
    • Computational Biology
    • Introduction to Bioinformatics Computing
  • Authors

    Mark Borodovsky, Georgia Institute of Technology
    Mark Borodovsky is the Regents' Professor of Biology and Biomedical Engineering and Director of the Center for Bioinformatics and Computational Biology at Georgia Institute of Technology in Atlanta. He is the founder of the Georgia Tech M.Sc. and Ph.D. degree programs in Bioinformatics. His research interests are in bioinformatics and systems biology. He has taught Bioinformatics courses since 1994.

    Svetlana Ekisheva, Georgia Institute of Technology
    Svetlana Ekisheva is a Research Scientist at the School of Biology, Georgia Institute of Technology, Atlanta. Her research interests are in bioinformatics, applied statistics and stochastic processes. Her expertise includes teaching probability theory and statistics at universities in Russia and in the USA.

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