Evaluation of methods to detect circular RNAs from single-end RNA-sequencing data.

ABSTRACT:

Background

Circular RNA (circRNA), a class of RNA molecule with a loop structure, has recently attracted researchers due to its diverse biological functions and potential biomarkers of human diseases. Most of the current circRNA detection methods from RNA-sequencing (RNA-Seq) data utilize the mapping information of paired-end (PE) reads to eliminate false positives. However, much of the practical RNA-Seq data such as cross-linking immunoprecipitation sequencing (CLIP-Seq) data usually contain single-end (SE) reads. It is not clear how well these tools perform on SE RNA-Seq data.

Results

In this study, we present a systematic evaluation of six advanced RNA-based methods and two CLIP-Seq based methods for detecting circRNAs from SE RNA-Seq data. The performances of the methods

SUBMITTER: Nguyen MH 

PROVIDER: S-EPMC8822704 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature