PcircRNA_finder
PcircRNA_finder predicts circular RNAs (circRNAs) in plant genomes from RNA sequencing data to improve sensitivity and precision of plant-specific circRNA detection.
Key Features:
- Plant-specific algorithm: Algorithms optimized for the structural characteristics of plant genomes to improve circRNA detection in plants.
- Improved sensitivity versus find_circ and CIRCexplorer: Demonstrated higher sensitivity relative to find_circ and CIRCexplorer when applied to plant datasets.
- Use of rRNA- and RNase R-treated datasets: Analyzes RNA sequencing data enriched for circular RNAs via rRNA depletion and RNase R treatment to reduce linear RNA background.
- Validation on simulated and real data: Performance evaluated using both simulated RNA-seq and real RNA sequencing data from Arabidopsis thaliana and rice.
Scientific Applications:
- CircRNA discovery and cataloging: Identification and cataloging of plant circRNAs across species and conditions.
- Functional studies of non-coding RNAs: Enabling investigation of circRNA roles in gene regulation and non-coding RNA biology in plants.
- Developmental and stress-response research: Facilitating studies of circRNA involvement in developmental processes and stress responses in Arabidopsis thaliana, rice, and other plants.
Methodology:
Employs algorithms optimized for plant genomes to analyze RNA sequencing data, including rRNA- and RNase R-treated datasets, to detect circRNAs; validation used simulated and real RNA-seq from Arabidopsis thaliana and rice.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Perl, Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Chen L, Yu Y, Zhang X, Liu C, Ye C, Fan L. PcircRNA_finder: a software for circRNA prediction in plants. Bioinformatics. 2016;32(22):3528-3529. doi:10.1093/bioinformatics/btw496. PMID:27493192. PMCID:PMC5181569.
PMID: 27493192
PMCID: PMC5181569
Funding: - National Basic Research Program of China: 2015CB150200
- National Science Foundation of China: 91435111