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Bioinformatics: A Biologist's Guide to Biocomputing and the Internet

Date Posted: Tuesday, May 13, 2008

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Author : Stuart M. Brown
Hardcover: 188 pages
Publisher: Eaton Publishing Company/Biotechniques Books; 1 edition (January 15, 2000)
Language: English
ISBN-10: 188129918X
ISBN-13: 978-1881299189
Product Dimensions: 9.5 x 6.8 x 0.8 inches


Table of Content :

Foreword.

1. Prerequisites in probability calculus.
2. Information and the Kullback Distance.
3. Probabilistic Models and Learning.
4. EM Algorithm.
5. Alignment and Scoring.
6. Mixture Models and Profiles.
7. Markov Chains.
8. Learning of Markov Chains.
9. Markovian Models for DNA sequences.
10. Hidden Markov Models: an Overview.
11. HMM for DNA Sequences.
12. Left to Right HMM for Sequences.
13. Derin's Algorithm.
14. Forward - Backward Algorithm.
15. Baum - Welch Learning Algorithm.
16. Limit Points of Baum - Welch.
17. Asymptotics of Learning.
18. Full Probabilistic HMM.