circPrimer2.0

circPrimer2.0 annotates circular RNAs and predicts open reading frames (ORFs), internal ribosomal entry sites (IRESs), and N6-methyladenosine (m6A) modification sites to support identification of potential peptide-coding circRNAs and study of cap-independent translation.


Key Features:

  • Annotation of circRNAs: Provides comprehensive annotation of circular RNAs.
  • ORF prediction: Predicts small open reading frames (ORFs) within circRNAs to assess protein-coding potential.
  • IRES prediction: Identifies potential internal ribosomal entry sites (IRESs) that may enable cap-independent translation.
  • m6A site identification: Predicts N6-methyladenosine (m6A) modification sites associated with regulation of circRNA translation.
  • Implementation: Implemented as Java-based software.

Scientific Applications:

  • Functional analysis of circRNAs: Enables exploration of circRNA roles, particularly their potential to be translated into peptides via cap-independent mechanisms.
  • Prioritization for experimental validation: Provides computational predictions of ORFs, IRESs, and m6A sites to guide selection of candidate circRNAs for laboratory follow-up.

Methodology:

Performs sequence-based analysis using algorithms to annotate circRNAs and predict ORFs, IRESs, and N6-methyladenosine (m6A) sites.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool, desktop application, workflow
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Java
Added:
9/6/2022
Last Updated:
11/24/2024

Operations

Publications

Zhong S, Feng J. CircPrimer 2.0: a software for annotating circRNAs and predicting translation potential of circRNAs. BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-04705-y. PMID:35668371. PMCID:PMC9169404.

PMID: 35668371
PMCID: PMC9169404
Funding: - national natural science foundation of china: 81602551 - young talents program of jiangsu cancer hospital: QL201810 - Special Foundation for National Science and Technology Basic Research Program of China: 2019FY101200