Computational Molecular Biology: An Algorithmic ApproachMIT 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 |
309 | |
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Computational Molecular Biology: An Algorithmic Approach Pavel A. Pevzner Keine Leseprobe verfügbar - 2000 |
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Verweise auf dieses Buch
Bioinformatics, second edition: The Machine Learning Approach Pierre Baldi,Søren Brunak Eingeschränkte Leseprobe - 2001 |