DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning.
Journal:
BMC bioinformatics
Published Date:
Dec 31, 2018
Abstract
BACKGROUND: N6-methyladensine (m6A) is a common and abundant RNA methylation modification found in various species. As a type of post-transcriptional methylation, m6A plays an important role in diverse RNA activities such as alternative splicing, an interplay with microRNAs and translation efficiency. Although existing tools can predict m6A at single-base resolution, it is still challenging to extract the biological information surrounding m6A sites.