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