Computational Molecular Biology: An Algorithmic Approach

Cover
MIT Press, 2000 - 314 Seiten

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 seriesComputer 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.

 

Inhalt

Computational Gene Hunting
1
2
7
Finding Signals in
8
2
21
9
29
Map Assembly
41
2
46
Sequencing 559
59
Multiple Alignment
123
3
135
6
143
11
149
Genome Rearrangements
179
HardtoSort Permutations
188
Computational Proteomics
229
Restriction Mapping
251

DNA Arrays
65
4
86
Sequence Comparison
93
5
95
7
102
All You Need to Know about Molecular Biology
271
23
277
Index
309
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Autoren-Profil (2000)

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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