Introduction to Computational Biology: An Evolutionary Approach

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Springer Science & Business Media, 09.08.2006 - 328 Seiten

Analysis of molecular sequence data is the main subject of this introduction to computational biology. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors.

This textbook is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists.

 

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Inhalt

Contents
1
10
8
Biological Sequences and the Exact String Matching Problem
43
Genome Comparison and Database Searching 65
64
Multiple Sequence Alignment
91
Sequence Profiles and Hidden Markov Models
101
Gene Prediction 117
116
Phylogeny
143
Forward in Time
187
Backward in Time
217
Testing Evolutionary Hypotheses 245
244
A bioinformer
259
B Probability
275
References 299
298
Glossary
313
Urheberrecht

Sequence Variation and Molecular Evolution
169

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