NmSEER V2.0: a prediction tool for 2'-O-methylation sites based on random forest and multi-encoding combination.

ABSTRACT:

Background

2'-O-methylation (2'-O-me or Nm) is a post-transcriptional RNA methylation modified at 2'-hydroxy, which is common in mRNAs and various non-coding RNAs. Previous studies revealed the significance of Nm in multiple biological processes. With Nm getting more and more attention, a revolutionary technique termed Nm-seq, was developed to profile Nm sites mainly in mRNA with single nucleotide resolution and high sensitivity. In a recent work, supported by the Nm-seq data, we have reported a method in silico for predicting Nm sites, which relies on nucleotide sequence information, and established an online server named NmSEER. More recently, a more confident dataset produced by refined Nm-seq was available. Therefore, in this work, we redesigned the prediction model to achieve

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC6929462 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature