Dataset Information

DRUM: Inference of Disease-Associated m⁶A RNA Methylation Sites From a Multi-Layer Heterogeneous Network.

ABSTRACT: Recent studies have revealed that the RNA N ⁶-methyladenosine (m⁶A) modification plays a critical role in a variety of biological processes and associated with multiple diseases including cancers. Till this day, transcriptome-wide m⁶A RNA methylation sites have been identified by high-throughput sequencing technique combined with computational methods, and the information is publicly available in a few bioinformatics databases; however, the association between individual m⁶A sites and various diseases are still largely unknown. There are yet computational approaches developed for investigating potential association between individual m⁶A sites and diseases, which represents a major challenge in the epitranscriptome analysis. Thu

SUBMITTER: Tang Y

PROVIDER: S-EPMC6456716 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Dataset Information

DRUM: Inference of Disease-Associated m⁶A RNA Methylation Sites From a Multi-Layer Heterogeneous Network.

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

DRUM: Inference of Disease-Associated m6A RNA Methylation Sites From a Multi-Layer Heterogeneous Network.

OmicsDI is part of the ELIXIR infrastructure

Tweets

DRUM: Inference of Disease-Associated m⁶A RNA Methylation Sites From a Multi-Layer Heterogeneous Network.