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Updated: Feb 2, 2026

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WebCircRNA: Classifying the Circular RNA Potential of Coding and Noncoding RNA.

Xiaoyong Pan1,2,3, Kai Xiong4,5, Christian Anthon6,7,8

  • 1Center for Non-Coding RNA in Technology and Health, University of Copenhagen, 1870 Frederiksberg C, Denmark. xypan172436@gmail.com.

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|November 9, 2018
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Summary
This summary is machine-generated.

This study introduces WebCircRNA, a tool predicting if RNA transcripts can form circular RNAs (circRNAs). It also assesses their potential expression in stem cells, aiding gene regulation research.

Keywords:
Circular RNAnoncoding RNArandom forest

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Circular RNAs (circRNAs) are key regulators in post-transcriptional gene expression, acting as microRNA (miRNA) sponges or influencing processes like stem cell differentiation.
  • Identifying potential circRNA isoforms for a given transcript is crucial for understanding gene regulation.
  • Assessing the stem cell expression potential of circRNAs is important for developmental biology and regenerative medicine.

Purpose of the Study:

  • To develop and present a user-friendly web server, WebCircRNA, for predicting circRNA potential in human genes and transcripts.
  • To evaluate the likelihood of coding and noncoding RNAs having circRNA isoforms.
  • To predict whether identified circRNAs are expressed in stem cells.

Main Methods:

  • Development of random forest models utilizing sequence-derived features for prediction.
  • Implementation of a web server for accessible prediction of circRNA potential.
  • Conversion of output scores to fractiles for assessing circRNA and stem cell potential.

Main Results:

  • The WebCircRNA models demonstrate strong predictive performance.
  • Area Under the Receiver Operating Characteristic (ROC) curve values were 0.82 for coding genes, 0.89 for long noncoding RNAs (lncRNAs), and 0.72 for stem cell expression.
  • The tool provides a quick evaluation of human genes and transcripts for their circRNA potential.

Conclusions:

  • WebCircRNA offers a valuable resource for researchers investigating circRNA biology.
  • The tool facilitates the identification of novel circRNAs and their roles in gene regulation and stem cell biology.
  • This web server aids in prioritizing transcripts for experimental validation of circRNA function.