MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.

ABSTRACT:

Motivation

Promoters are short DNA consensus sequences that are localized proximal to the transcription start sites of genes, allowing transcription initiation of particular genes. However, the precise prediction of promoters remains a challenging task because individual promoters often differ from the consensus at one or more positions.

Results

In this study, we present a new multi-layer computational approach, called MULTiPly, for recognizing promoters and their specific types. MULTiPly took into account the sequences themselves, including both local information such as k-tuple nucleotide composition, dinucleotide-based auto covariance and global information of the entire samples based on bi-profile Bayes and k-nearest neighbour feature encodings. Specifically, the F-score

SUBMITTER: Zhang M 

PROVIDER: S-EPMC6736106 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature