Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data.

de Hoon, M J L; Makita, Y; Imoto, S; Kobayashi, K; Ogasawara, N; Nakai, K; Miyano, S

de Hoon, M J L; Makita, Y; Imoto, S; Kobayashi, K; Ogasawara, N; Nakai, K; Miyano, S.

Affiliation

de Hoon MJ; Human Genome Center, Institute of Medical Science, University of Tokyo, Shirokanedai, Minato-ku, Tokyo, Japan. mdehoon@ims.u-tokyo.ac.jp

Bioinformatics ; 20 Suppl 1: i101-8, 2004 Aug 04.

Article in En | MEDLINE | ID: mdl-15262787

Subject(s)

Bacillus subtilis/metabolism; Bacterial Proteins/genetics; Chromosome Mapping/methods; Data Interpretation, Statistical; Gene Expression Regulation/physiology; Models, Biological; Sigma Factor/physiology; Algorithms; Computer Simulation; Gene Expression Profiling; Models, Statistical

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PubMed Links

Database: MEDLINE Main subject: Sigma Factor / Bacillus subtilis / Bacterial Proteins / Gene Expression Regulation / Data Interpretation, Statistical / Chromosome Mapping / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Language: En Year: 2004 Type: Article

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