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9780262161978

Computational Molecular Biology : An Algorithmic Approach

by
  • ISBN13:

    9780262161978

  • ISBN10:

    0262161974

  • Format: Hardcover
  • Copyright: 2000-08-21
  • Publisher: Bradford Books
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List Price: $58.00

Summary

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.

Table of Contents

Preface xiii
Computational Gene Hunting
1(18)
Introduction
1(1)
Genetic Mapping
1(4)
Physical Mapping
5(3)
Sequencing
8(2)
Similarity Search
10(2)
Gene Prediction
12(2)
Mutation Analysis
14(1)
Comparative Genomics
14(3)
Proteomics
17(2)
Restriction Mapping
19(22)
Introduction
19(2)
Double Digest Problem
21(2)
Multiple Solutions of the Double Digest Problem
23(3)
Alternating Cycles in Colored Graphs
26(1)
Transformations of Alternating Eulerian Cycles
27(5)
Physical Maps and Alternating Eulerian Cycles
32(2)
Partial Digest Problem
34(1)
Homometric Sets
35(3)
Some Other Problems and Approaches
38(3)
Optical mapping
38(1)
Probed Partial Digest mapping
38(3)
Map Assembly
41(18)
Introduction
41(3)
Mapping with Non-Unique Probes
44(4)
Mapping with Unique Probes
48(2)
Interval Graphs
50(3)
Mapping with Restriction Fragment Fingerprints
53(1)
Some Other Problems and Approaches
54(5)
Lander-Waterman statistics
54(1)
Screening clone libraries
55(1)
Radiation hybrid mapping
55(4)
Sequencing
59(6)
Introduction
59(2)
Overlap, Layout, and Consensus
61(1)
Double-Barreled Shotgun Sequencing
62(1)
Some Other Problems and Approaches
63(2)
Shortest Superstring Problem
63(1)
Finishing phase of DNA sequencing
63(2)
DNA Arrays
65(28)
Introduction
65(2)
Sequencing by Hybridization
67(1)
SBH and the Shortest Superstring Problem
68(2)
SBH and the Eulerian Path Problem
70(4)
Probability of Unique Sequence Reconstruction
74(1)
String Rearrangements
75(3)
2-optimal Eulerian Cycles
78(3)
Positional Sequencing by Hybridization
81(1)
Design of DNA Arrays
82(2)
Resolving Power of DNA Arrays
84(1)
Multiprobe Arrays versus Uniform Arrays
85(2)
Manufacture of DNA Arrays
87(4)
Some Other Problems and Approaches
91(2)
SBH with universal bases
91(1)
Adaptive SBH
91(1)
SBH-style shotgun sequencing
92(1)
Fidelity probes for DNA arrays
92(1)
Sequence Comparison
93(30)
Introduction
93(3)
Longest Common Subsequence Problem
96(2)
Sequence Alignment
98(1)
Local Sequence Alignment
98(2)
Alignment with Gap Penalties
100(1)
Space-Efficient Sequence Alignment
101(1)
Young Tableaux
102(4)
Average Length of Longest Common Subsequences
106(3)
Generalized Sequence Alignment and Duality
109(2)
Primal-Dual Approach to Sequence Comparison
111(2)
Sequence Alignment and Integer Programming
113(1)
Approximate String Matching
114(1)
Comparing a Sequence Against a Database
115(1)
Multiple Filtration
116(2)
Some Other Problems and Approaches
118(5)
Parametric sequence alignment
118(1)
Alignment statistics and phase transition
119(1)
Suboptimal sequence alignment
119(1)
Alignment with tandem duplications
120(1)
Winnowing database search results
120(1)
Statistical distance between texts
120(1)
RNA folding
121(2)
Multiple Alignment
123(10)
Introduction
123(2)
Scoring a Multiple Alignment
125(1)
Assembling Pairwise Alignments
126(1)
Approximation Algorithm for Multiple Alignments
127(1)
Assembling 1-way Alignments
128(2)
Dot-Matrices and Image Reconstruction
130(1)
Multiple Alignment via Dot-Matrix Multiplication
131(1)
Some Other Problems and Approaches
132(1)
Multiple alignment via evolutionary trees
132(1)
Cutting corners in edit graphs
132(1)
Finding Signals in DNA
133(20)
Introduction
133(1)
Edgar Allan Poe and DNA Linguistics
134(2)
The Best Bet for Simpletons
136(1)
The Conway Equation
137(3)
Frequent Words in DNA
140(3)
Consensus Word Analysis
143(1)
CG-islands and the ``Fair Bet Casino''
144(1)
Hidden Markov Models
145(2)
The Elkhorn Casino and HMM Parameter Estimation
147(1)
Profile HMM Alignment
148(1)
Gibbs Sampling
149(1)
Some Other Problems and Approaches
150(3)
Finding gapped signals
150(1)
Finding signals in samples with biased frequencies
150(1)
Choice of alphabet in signal finding
151(2)
Gene Prediction
153(22)
Introduction
153(2)
Statistical Approach to Gene Prediction
155(1)
Similarity-Based Approach to Gene Prediction
156(1)
Spliced Alignment
157(10)
Reverse Gene Finding and Locating Exons in cDNA
167(2)
The Twenty Questions Game with Genes
169(1)
Alternative Splicing and Cancer
169(2)
Some Other Problems and Approaches
171(4)
Hidden Markov Models for gene prediction
171(2)
Bacterial gene prediction
173(2)
Genome Rearrangements
175(54)
Introduction
175(12)
The Breakpoint Graph
187(1)
``Hard-to-Sort'' Permutations
188(1)
Expected Reversal Distance
189(3)
Signed Permutations
192(1)
Interleaving Graphs and Hurdles
193(3)
Equivalent Transformations of Permutations
196(4)
Searching for Safe Reversals
200(4)
Clearing the Hurdles
204(5)
Duality Theorem for Reversal Distance
209(4)
Algorithm for Sorting by Reversals
213(1)
Transforming Men into Mice
214(5)
Capping Chromosomes
219(2)
Caps and Tails
221(2)
Duality Theorem for Genomic Distance
223(3)
Genome Duplications
226(1)
Some Other Problems and Approaches
227(2)
Genome rearrangements and phylogenetic studies
227(1)
Fast algorithm for sorting by reversals
228(1)
Computational Proteomics
229(22)
Introduction
229(2)
The Peptide Sequencing Problem
231(1)
Spectrum Graphs
232(4)
Learning Ion-Types
236(1)
Scoring Paths in Spectrum Graphs
237(2)
Peptide Sequencing and Anti-Symmetric Paths
239(1)
The Peptide Identification Problem
240(1)
Spectral Convolution
241(2)
Spectral Alignment
243(2)
Aligning Peptides Against Spectra
245(3)
Some Other Problems and Approaches
248(3)
From proteomics to genomics
248(1)
Large-scale protein analysis
249(2)
Problems
251(20)
Introduction
251(1)
Restriction Mapping
251(3)
Map Assembly
254(2)
Sequencing
256(1)
DNA Arrays
257(2)
Sequence Comparison
259(5)
Multiple Alignment
264(1)
Finding Signals in DNA
264(1)
Gene Prediction
265(1)
Genome Rearrangements
266(3)
Computational Proteomics
269(2)
All You Need to Know about Molecular Biology
271(4)
Bibliography 275(34)
Index 309

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