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The recent availability of heterogeneous high-throughput data types has increased the need for scalable in silico methods with which to integrate data related to the processes of regulation, protein synthesis, and metabolism. A sequence-based framework for modeling transcription and translation in prokaryotes has been established and has been extended to(More)
MOTIVATION A key aspect of elucidating gene regulation in bacterial genomes is identifying the basic units of transcription. We present a method, based on probabilistic language models, that we apply to predict operons, promoters and terminators in the genome of Escherichia coli K-12. Our approach has two key properties: (i) it provides a coherent set of(More)
Bacteria core RNA polymerase (RNAP) must associate with a sigma factor to recognize promoter sequences. Promoters recognized by the sigma(54) (or sigma(N)) associated RNA polymerase are unique in having conserved positions around -24 and -12 nucleotides upstream from the transcriptional start site. Using DNA microarrays representing the entire Escherichia(More)
Bacterial flagellar motility and chemotaxis help cells to reach the most favorable environments and to successfully compete with other micro-organisms in response to external stimuli. Escherichia coli is a motile gram-negative bacterium, and the flagellar regulon in E. coli is controlled by a master regulator FlhDC as well as a second regulator,(More)