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Problems and Solutions in Biological Sequence Analysis Cambridge University Press - (ISBN-13: 9780521612302) Published September 2006 |
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| Price: |
£ 23.99 |
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| Author(s): |
Mark Borodovsky Georgia Institute of Technology Svetlana Ekisheva Georgia Institute of Technology |
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| Description: |
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. • 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 text to BSA • 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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| Contents List: |
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. |
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| Publisher: | Cambridge University Press. | |||||||