Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data.

ABSTRACT:

Background

Circular RNA (circRNA) is an emerging class of RNA molecules attracting researchers due to its potential for serving as markers for diagnosis, prognosis, or therapeutic targets of cancer, cardiovascular, and autoimmune diseases. Current methods for detection of circRNA from RNA sequencing (RNA-seq) focus mostly on improving mapping quality of reads supporting the back-splicing junction (BSJ) of a circRNA to eliminate false positives (FPs). We show that mapping information alone often cannot predict if a BSJ-supporting read is derived from a true circRNA or not, thus increasing the rate of FP circRNAs.

Results

We have developed Circall, a novel circRNA detection method from RNA-seq. Circall controls the FPs using a robust multidimensional local false discovery rate

SUBMITTER: Nguyen DT 

PROVIDER: S-EPMC8513298 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature