Genomics Proteomics & BioinformaticsBioinformaticsPeer-reviewed journal article
DEBKS: A Tool to Detect Differentially Expressed Circular RNA
Zelin LiuiD, Huiru DingiD, Jianqi SheiD, Chunhua CheniD, Weiguang ZhangiD, Ence YangiD
Abstract
Circular RNAs (circRNAs) are involved in various biological processes and in disease pathogenesis. However, only a small number of functional circRNAs have been identified among hundreds of thousands of circRNA species, partly because most current methods are based on circular junction counts and overlook the fact that circRNA is formed from the host gene by back-splicing (BS). To distinguish between expression originating from BS and that from the host gene, we present DEBKS, a software program to streamline the discovery of differential BS between two rRNA-depleted RNA sequencing (RNA-seq) sample groups. By applying real and simulated data and employing RT-qPCR for validation, we demonstrate that DEBKS is efficient and accurate in detecting circRNAs with differential BS events between paired and unpaired sample groups. DEBKS is available at https://github.com/yangence/DEBKS as open-source software.
- Citations
- 13
- FWCI
- 0.86
- Field percentile
- top 31%
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