iPromoter-BnCNN: a novel branched CNN based predictor for identifying and classifying sigma promoters

Abstract Motivation Promoter is a short region of DNA which is responsible for initiating transcription of specific genes. Development of computational tools for automatic identification of promoters is in high demand. According to the difference of functions, promoters can be of different types. Promoters may have both intra and inter class variation and similarity in terms of consensus sequences. Accurate classification of various types of sigma promoters still remains a challenge. Results We present iPromoter-BnCNN for identification and accurate classification of six types of promoters - σ 24 , σ 28 , σ 32 , σ 38 , σ 54 , σ 70 . It is a CNN based classifier which combines local features related to monomer nucleotide sequence, trimer…