Accurate detection of m⁶A RNA modifications in native RNA sequences.

ABSTRACT: The epitranscriptomics field has undergone an enormous expansion in the last few years; however, a major limitation is the lack of generic methods to map RNA modifications transcriptome-wide. Here, we show that using direct RNA sequencing, N⁶-methyladenosine (m⁶A) RNA modifications can be detected with high accuracy, in the form of systematic errors and decreased base-calling qualities. Specifically, we find that our algorithm, trained with m⁶A-modified and unmodified synthetic sequences, can predict m⁶A RNA modifications with ~90% accuracy. We then extend our findings to yeast data sets, finding that our method can identify m⁶A RNA modifications in vivo with an accuracy of 87%. Moreover, we further validate our method by showing that

SUBMITTER: Liu H 

PROVIDER: S-EPMC6734003 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature