Introduction to Computational Biology An Evolutionary Approach

About this book

Undergraduate textbook focusing on bioinformatics from an evolutionary point of view. Covers the following topics: gene finding by linkage disequillibrium mapping, restriction maps, DNA analysis and forensic medicine, sequence data bases, introduction to and application of pairwise alignments, Bayesian statistics, detecting sequence patterns, DNA-protein interaction, multiple alignments, phylogenetic analysis, distance methods, parismony and likelyhood, neutral theory, and coalescent theory. The volume contains exercises, questions and answers to selected problems, an introduction to coalescent theory, and an appendix with essentials of probability theory.

Contents

Optimal Pairwise Alignment.- Biological Sequences and the Exact String Matching Problem.- Fast Alignments: Genome Comparisons and Database Searches.- Multiple Sequence Alignment.- Sequence Profiles and Hidden Markov Models.- Gene Prediction.- Phylogeny.- Sequence Variation and Molecular Evolution.- Genes in Populations: Forward in Time.- Genes in Populations: Backward in Time.- Testing Evolutionary Hypotheses.- Bioinformer CD.- Probability and Statistics.- Molecular Biology Figures and Tables.- Resources.- Answer to Exercises.- References.- Glossary.- Index

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