An Efficient Algorithm for Sensitively Detecting Circular RNA from RNA-seq Data.

ABSTRACT: Circular RNA (circRNA) is an important member of non-coding RNA family. Numerous computational methods for detecting circRNAs from RNA-seq data have been developed in the past few years, but there are dramatic differences among the algorithms regarding the balancing of the sensitivity and precision of the detection and filtering strategies. To further improve the sensitivity, while maintaining an acceptable precision of circRNA detection, a novel and efficient de novo detection algorithm, CIRCPlus, is proposed in this paper. CIRCPlus accurately locates circRNA candidates by identifying a set of back-spliced junction reads by comparing the local similar sequence of each pair of spanning junction reads. This strategy, thus, utilizes the important information provided by unbalanced spa

SUBMITTER: Zhang X 

PROVIDER: S-EPMC6213952 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature