Computational Molecular Biology: An Algorithmic Approach / Edition 1

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Overview

In one of the first major texts in the emerging field of computational molecular biology, Pavel Pevzner covers a broad range of algorithmic and combinatorial topics and shows how they are connected to molecular biology and to biotechnology. The book has a substantial
"computational biology without formulas" component that presents the biological and computational ideas in a relatively simple manner. This makes the material accessible to computer scientists without biological training, as well as to biologists with limited background in computer science.
Computational Molecular Biology series: computer science and mathematics are transforming molecular biology from an informational to a computational science. Drawing on computational, statistical, experimental, and technological methods, the new discipline of computational molecular biology is dramatically increasing the discovery of new technologies and tools for molecular biology. The new MIT Press Computational Molecular Biology
series provides a unique venue for the rapid publication of monographs, textbooks, edited collections, reference works, and lecture notes of the highest quality.

The MIT Press

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Product Details

  • ISBN-13: 9780262161978
  • Publisher: MIT Press
  • Publication date: 8/21/2000
  • Series: Computational Molecular Biology
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 332
  • Product dimensions: 7.00 (w) x 9.00 (h) x 1.00 (d)

Meet the Author

Pavel Pevzner is Ronald R. Taylor Professor of Computer Science at the University of
California, San Diego. He is the author of Computational Molecular Biology: An Algorithmic
Approach
(MIT Press, 2000).
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Table of Contents

Preface
1 Computational Gene Hunting 1
2 Restriction Mapping 19
3 Map Assembly 41
4 Sequencing 59
5 DNA Arrays 65
6 Sequence Comparison 93
7 Multiple Alignment 123
8 Finding Signals in DNA 133
9 Gene Prediction 153
10 Genome Rearrangements 175
11 Computational Proteomics 229
12 Problems 251
13 All You Need to Know about Molecular Biology 271
Bibliography 275
Index 309
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