henhaobio
Sign in

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

PDFDOIPreprintCode

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%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLi '20Humphreys '19Menzel '19Ulrix '26Ma '19Gao '22
69% semantic matchBioinformatics
Xin Li, Yufeng Wu·BMC Genomics·Mar 1, 2020· 19 citations