A Reversible Jump Markov Chain Monte Carlo Algorithm for Bacterial Promoter Motifs Discovery
Author:
Affiliation:
1. Laboratoire Statistique et Génome, CNRS, Tour Évry2, 523 place des terrasses de l'Agora, F-91034 Évry, France.
2. Laboratoire Mathématique, Informatique et Génome, INRA, F-78350 Jouy-en-Josas, France.
Publisher
Mary Ann Liebert Inc
Subject
Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation
Link
http://www.liebertpub.com/doi/pdf/10.1089/cmb.2006.13.651
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1. DNA microarray analysis ofBacillus subtilissigma factors of extracytoplasmic function family
2. Unsupervised learning of multiple motifs in biopolymers using expectation maximization
3. GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions
4. On Determining the Order of Markov Dependence of an Observed Process Governed by a Hidden Markov Model
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