CircMeta: a unified computational framework for genomic feature annotation and differential expression analysis of circular RNAs.

ABSTRACT:

Motivation

Circular RNAs (circRNAs), a class of non-coding RNAs generated from non-canonical back-splicing events, have emerged to play key roles in many biological processes. Though numerous tools have been developed to detect circRNAs from rRNA-depleted RNA-seq data based on back-splicing junction-spanning reads, computational tools to identify critical genomic features regulating circRNA biogenesis are still lacking. In addition, rigorous statistical methods to perform differential expression (DE) analysis of circRNAs remain under-developed.

Results

We present circMeta, a unified computational framework for circRNA analyses. circMeta has three primary functional modules: (i) a pipeline for comprehensive genomic feature annotation related to circRNA biogenesis, including l

SUBMITTER: Chen L 

PROVIDER: S-EPMC7999137 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature