Bioinformatics
Bioinformatics: sequence and genome analysis David W. Mount
Publisher: Cold Spring Harbor, N.Y. : Cold Spring Harbor Laboratory Press, c2001.
ISBN: 0879696087
DDC: 572.8633
LCC: QH441.2
Edition: (pbk)
Summary:
The application of computational methods to DNA and protein science
is a new and exciting development in biology. Bioinformatics:
Sequence and Genome Analysis is a comprehensive introduction to this
emerging field of study. The book has many unique and valuable
features: It is written for any biologist who wants to understand
methods of sequence and structure analysis and how the necessary
computer programs work; Sequence alignment, structure prediction,
phylogenetic and gene prediction, database searching, and genome
analysis are clearly explained and amply illustrated; Underlying
algorithms and assumptions are clearly explained for the
non-specialist; Examples are presented in simple numerical terms
rather than complex formulas and notation; Theoretical underpinnings
are linked to biological problems and their solutions; Extensive
tables provide descriptions and Web sources for a broad range of
publicly available software; An associated Website
(www.BioinformaticsOnline.org), accessible free of charge by book
purchasers, provides links to Internet sources referred to in the
text, as well as problem sets for classroom use, and other useful
material not included in the text. Based on the author's extensive
experience as a molecular geneticist and bioinformaticist at the
University of Arizona, this is a uniquely educational book, ideal as
a laboratory reference for investigators and also as teaching
reference for graduate and undergraduate students studying this
fast-changing discipline.
Notes:
Includes bibliographical references and index.
1. Historical Introduction and Overview -- 2. Collecting and Storing
Sequences in the Laboratory -- 3. Alignment of Pairs of Sequences --
4. Multiple Sequence Alignment -- 5. Prediction of RNA Secondary
Structure -- 6. Phylogenetic Prediction -- 7. Database Searching for
Similar Sequences -- 8. Gene Prediction -- 9. Protein Classification
and Structure Prediction -- 10. Genome Analysis.
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