QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model.

ABSTRACT:

Background

As a newly emerged research area, RNA epigenetics has drawn increasing attention recently for the participation of RNA methylation and other modifications in a number of crucial biological processes. Thanks to high throughput sequencing techniques, such as, MeRIP-Seq, transcriptome-wide RNA methylation profile is now available in the form of count-based data, with which it is often of interests to study the dynamics at epitranscriptomic layer. However, the sample size of RNA methylation experiment is usually very small due to its costs; and additionally, there usually exist a large number of genes whose methylation level cannot be accurately estimated due to their low expression level, making differential RNA methylation analysis a difficult task.

Results

We prese

SUBMITTER: Liu L 

PROVIDER: S-EPMC5667504 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature