P-Finder
P-Finder identifies RNase P RNA genes (rnpB) in prokaryotic genomes, enabling sensitive and accurate annotation despite high sequence variability and structural diversity.
Key Features:
- Comprehensive RNase P RNA database: Leverages the largest known RNase P RNA database as a reference for detection.
- Local alignment scoring algorithm: Employs an advanced local alignment scoring algorithm for rnpB gene detection.
- High sensitivity and accuracy: Detects rnpB genes in nearly 99% of examined microbial genomes.
- Structural variability handling: Identifies diverse RNase P RNA structural classes, including C-type and minimal T-type RNAs, across at least five distinct prokaryotic structure types.
- Improved performance over covariance models: Addresses limitations of previous covariance model approaches that struggled with RNase P RNA structural variability.
Scientific Applications:
- Discovery of novel rnpB genes: Computationally identified four new rnpB genes encoding minimal T-type P RNase P RNAs.
- Identification of rare structural types: Detected the second C-type RNase P RNA in Sphaerobacter thermophilus.
- Evolutionary and symbiosis studies: Revealed absence of RNase P RNAs in several obligate endosymbionts of sap-sucking insects, suggesting a novel evolutionary adaptation.
Methodology:
Couples the largest known RNase P RNA database with a local alignment scoring algorithm to enhance sensitivity and speed relative to covariance model approaches.
Topics
Details
- Tool Type:
- desktop application
- Programming Languages:
- C#
- Added:
- 1/18/2021
- Last Updated:
- 3/15/2021
Operations
Publications
Ellis JC. P finder: genomic and metagenomic annotation of RNase P RNA gene (rnpB). BMC Genomics. 2020;21(1). doi:10.1186/s12864-020-6615-z. PMID:32349659. PMCID:PMC7191817.
PMID: 32349659
PMCID: PMC7191817
Funding: - Center for Bioenergy Innovation: DE-AC05-00OR2272
- Plant Microbe Interfaces: DE-AC05-00OR22725