PGAP
PGAP performs comprehensive pan-genome analysis of prokaryotic genomes to identify core, accessory, and unique gene sets and to analyze gene clusters, functional gene variation, functional enrichment, and species evolution.
Key Features:
- Cluster Analysis of Functional Genes: Enables clustering and categorization of functional genes across strains or species.
- Pan-Genome Profile Analysis: Constructs pan-genome profiles to define core, accessory, and unique gene sets across genomes.
- Genetic Variation Analysis of Functional Genes: Detects and characterizes mutations and polymorphisms within functional genes.
- Species Evolution Analysis: Infers phylogenetic relationships and evolutionary trajectories among species from genomic data.
- Function Enrichment Analysis of Gene Clusters: Identifies overrepresented biological functions within gene clusters through enrichment analysis.
Scientific Applications:
- Bacterial Genomics: Applied to comparative analyses of bacterial genomes to study genetic diversity and evolutionary patterns.
- Streptococcus pyogenes Case Study: Demonstrated on 11 strains of Streptococcus pyogenes for pan-genome and comparative analyses.
Methodology:
Implemented as Perl scripts on a Linux platform.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Perl
- Added:
- 12/18/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Zhao Y, Wu J, Yang J, Sun S, Xiao J, Yu J. PGAP: pan-genomes analysis pipeline. Bioinformatics. 2011;28(3):416-418. doi:10.1093/bioinformatics/btr655. PMID:22130594. PMCID:PMC3268234.