Predicting the operon structure of Bacillus subtilis using operon length, intergene distance, and gene expression information

• Published in: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing p. 276
• Main Authors: De Hoon, M J L, Imoto, S, Kobayashi, K, Ogasawara, N, Miyano, S
• Format: Journal Article
• Language: English
• Published: United States 2004
• Subjects: Bacillus subtilis - genetics; Bayes Theorem; Computational Biology; DNA, Intergenic; Gene Expression Profiling - statistics & numerical data; Genomics - statistics & numerical data; Models, Genetic; Operon

We predict the operon structure of the Bacillus subtilis genome using the average operon length, the distance between genes in base pairs, and the similarity in gene expression measured in time course and gene disruptant experiments. By expressing the operon prediction for each method as a Bayesian...