Ori-Finder-3
Ori-Finder-3 predicts replication origins (ARSs) in Saccharomyces cerevisiae by analyzing genomic DNA sequence features to map replication initiation sites.
Key Features:
- Z-curve Methodology: Implements the Z-curve method to analyze DNA sequence characteristics for origin prediction.
- Single-Nucleotide Prediction Accuracy: Predicts ARSs at single-nucleotide resolution by identifying AT-rich stretches and ARS consensus sequences.
- High Predictive Performance: Validated on the Saccharomyces cerevisiae reference genome, matching 83% of the top 100 predictions and 60% of the top 300 predictions to known ARS records.
- Comprehensive Database: Compiles predicted ARSs from over one hundred Saccharomyces cerevisiae genomes to support comparative analyses.
Scientific Applications:
- Genomic Stability Studies: Characterizes distribution and features of replication origins to investigate mechanisms of genomic stability and instability in Saccharomyces cerevisiae.
- Comparative Genomics: Enables comparative analysis of predicted ARSs across multiple S. cerevisiae strains to study evolutionary variation and strain-specific differences.
- Functional Genomics: Identifies candidate replication origins in uncharacterized genomes to aid functional annotation and study of genome organization.
Methodology:
Applies the Z-curve analysis to genomic DNA sequences, detects AT-rich stretches and ARS consensus sequences for single-nucleotide origin prediction, validates predictions against known ARS records in the S. cerevisiae reference genome, and aggregates predicted ARSs across >100 genomes into a database.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Wang D, Lai F, Gao F. Ori-Finder 3: a web server for genome-wide prediction of replication origins in <i>Saccharomyces cerevisiae</i>. Briefings in Bioinformatics. 2020;22(3). doi:10.1093/bib/bbaa182. PMID:34020544.
DOI: 10.1093/bib/bbaa182
PMID: 34020544
Funding: - National Natural Science Foundation of China: 21621004, 31171238, 31571358, 91746119
- National Key Laboratory of Biochemical Engineering: 2018YFA0903700