论文信息 - HMM, an Efficient Way to Detect Transcriptional Promoters in Bacterial Genomes?

HMM, an Efficient Way to Detect Transcriptional Promoters in Bacterial Genomes?

We have developed a data mining study based on second-order Hidden Markov Models to detect short DNA motifs that appear abnormally frequently at non-random locations in the streptomyces coelicolor genome. Our method has permitted to detect 23 of 30 SigR target promoter sequences in this genome. || Nous decrivons une etude de fouille de donnees a l'aide de modeles de Markov caches du second ordre dans laquelle nous detectons des petits motifs d'ADN dans la bacterie S. Coelicolor. Notre methode a permis de detecter 23 des 30 promoteurs sigR de ce gen

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