Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, whic
Introduction to Computational Biology: An Evolutionary Approach
β Scribed by Bernhard Haubold, Thomas Wiehe
- Publisher
- BirkhΓ€user Basel
- Year
- 2007
- Tongue
- German
- Leaves
- 343
- Edition
- 1st Corrected ed. 2006. Corr. 3rd printing 2007
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.
β¦ Table of Contents
Cover_978-3-7643-6700-8......Page 1
front-matter......Page 2
CopyRight......Page 3
Dedication......Page 4
Preface......Page 5
Contents......Page 6
1 Introduction......Page 12
Part I: Sequences in Space......Page 20
2 Optimal Pairwise Alignment......Page 22
3 Biological Sequences and the Exact String MatchingProblem......Page 58
4 Fast Alignment: Genome Comparison and DatabaseSearching......Page 80
5 Multiple Sequence Alignment......Page 106
6 Sequence Profiles and Hidden Markov Models......Page 116
7 Gene Prediction......Page 132
Part II: Sequences in Time......Page 156
8 Phylogeny......Page 158
9 Sequence Variation and Molecular Evolution......Page 184
10 Genes in Populations: Forward in Time......Page 202
11 Genes in Populations: Backward in Time......Page 232
12 Testing Evolutionary Hypotheses......Page 260
BackMatter......Page 274
π SIMILAR VOLUMES
Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, whic
This introduction to computational biology is centered on the analysis of molecular sequence data. 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 tim
Evolutionary Computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being increasingly widely applied to a variety of problems, ranging from practical applications
<p><P>Evolutionary Computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being increasingly widely applied to a variety of problems, ranging from practical applic
The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to c