A pHMM-ANN based discriminative approach to promoter identification in prokaryote genomic contexts

Abstract

The computational approach for identifying promoters on increasingly large genomic sequences has led to many false positives. The biological significance of promoter identification lies in the ability to locate true promoters with and without prior sequence contextual knowledge. Prior approaches to promoter modelling have involved artificial neural networks… (More)

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