Gibbs sampling and bioinformatics
Part 4. Bioinformatics
4.8. Modern Programming Paradigms in Biology
Short Specialist Review
Published Online: 15 JUL 2005
Copyright © 2005 John Wiley & Sons, Ltd
Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics
How to Cite
Liu, X. S. 2005. Gibbs sampling and bioinformatics. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. 4:4.8:106.
- Published Online: 15 JUL 2005
Gibbs sampling is one of the best-known Markov chain Monte Carlo methods. Its first and most popular application to bioinformatics is the sequence motif finding problem. Since then, Gibbs sampling has been successfully applied to many other interesting genomics and bioinformatics problems, especially haplotype inference and microarray biclustering.
- Gibbs sampling;
- sequence motif finding;
- haplotype inference;
- microarray biclustering