SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features.

ABSTRACT: N(6)-methyladenosine (m(6)A) is a prevalent RNA methylation modification involved in the regulation of degradation, subcellular localization, splicing and local conformation changes of RNA transcripts. High-throughput experiments have demonstrated that only a small fraction of the m(6)A consensus motifs in mammalian transcriptomes are modified. Therefore, accurate identification of RNA m(6)A sites becomes emergently important. For the above purpose, here a computational predictor of mammalian m(6)A site named SRAMP is established. To depict the sequence context around m(6)A sites, SRAMP combines three random forest classifiers that exploit the positional nucleotide sequence pattern, the K-nearest neighbor information and the position-independent nucleotide pair spectrum features, respectiv

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC4889921 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature