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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.1K

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Related Experiment Video

Updated: Nov 16, 2025

Identification of Circular RNAs using RNA Sequencing
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DEBKS: A Tool to Detect Differentially Expressed Circular RNAs.

Zelin Liu1, Huiru Ding2, Jianqi She1

  • 1Institute of Systems Biomedicine, Department of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.

Genomics, Proteomics & Bioinformatics
|February 25, 2021
PubMed
Summary

Researchers developed differentially expressed back-splicing (DEBKS), a new software tool to accurately identify circular RNAs (circRNAs) by focusing on their unique back-splicing (BS) events. This method enhances the discovery of functional circRNAs in RNA sequencing data.

Keywords:
Back-splicingCircular RNAGene expressionRNA-seqRibo-Zero

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Circular RNAs (circRNAs) play roles in biological processes and diseases.
  • Identifying functional circRNAs is challenging due to limitations in current detection methods that focus on junction counts.
  • Existing methods often overlook the specific back-splicing (BS) mechanism crucial for circRNA formation.

Purpose of the Study:

  • To develop a novel computational tool for identifying differential back-splicing (BS) events.
  • To accurately distinguish circRNA expression changes arising from BS versus host gene expression.
  • To facilitate the discovery of functional circRNAs in RNA sequencing (RNA-seq) data.

Main Methods:

  • Introduction of differentially expressed back-splicing (DEBKS), a software program designed for RNA-seq analysis.
  • DEBKS analyzes rRNA-depleted samples to detect differential BS events between experimental groups.
  • Validation using simulated data, real biological data, and reverse transcription quantitative polymerase chain reaction (RT-qPCR).

Main Results:

  • DEBKS efficiently and accurately detects differential BS events in both paired and unpaired sample groups.
  • The software demonstrates high performance in identifying circRNAs with altered BS events.
  • RT-qPCR validation confirms the accuracy of DEBKS in detecting differential circRNA expression.

Conclusions:

  • DEBKS is an effective tool for discovering circRNAs with differential BS events.
  • The software improves the identification of functional circRNAs by focusing on the BS mechanism.
  • DEBKS provides an open-source solution for circRNA research in RNA-seq studies.