PromoR and PromoS forE. colipromoter recognition and classification

Abstract

AbstractRecognition of promoters is important for novel promoter identification, which can be used for genome annotation. Classification of strong and weak promoters can be used for screening high activity promoters. This study introduced PomoR for promoter recognition and PromoS for promoter strong and weak classification. The given two network were built based on ResNet and Attention and validated by cross-validation. PromoR and PromoS displayed an accuracy of 0.887 and 0.781, respectively.