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BioinformaticsGenome biology
Peer-reviewed journal article

Promotech: A general tool for bacterial promoter recognition

Ruben Chevez-Guardado, Lourdes Peña‐CastilloiD

Abstract

Promoters are genomic regions where the transcription machinery binds to initiate the transcription of specific genes. Computational tools for identifying bacterial promoters have been around for decades. However, most of these tools were designed to recognize promoters in one or few bacterial species. Here, we present Promotech, a machine-learning-based method for promoter recognition in a wide range of bacterial species. We compared Promotechs performance with the performance of five other promoter prediction methods. Promotech outperformed these other programs in terms of area under the precision-recall curve (AUPRC) or precision at the same level of recall. Promotech is available at https://github.com/BioinformaticsLabAtMUN/PromoTech.

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02 /Specification & Classification

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