About the Platform

A comprehensive web-based platform for pan-genome analysis and functional annotation

PanWSGA (Pan-Web Single Genome Analyzer) is a powerful web-based platform designed for single-genome pangenome analysis. It enables researchers to project a single bacterial genome onto a curated, species-level pangenome reference derived from more than 100,000 high-quality assemblies.

The platform integrates standardized reannotation, a custom classification engine, and a dedicated visualization module to deliver reproducible gene-category profiles and functional summaries within minutes. All computational steps run on the server—no installation, local dependencies, or computational infrastructure required.

Key Features

Pan-Genome Comparison

Compare genomes against reference databases and classify genes into core, accessory, and unique categories

Functional Annotation

Automated annotation using eggNOG-mapper with COG categories and GO term assignment

Interactive Visualizations

Venn diagrams, COG pie charts, and gene distribution visualizations

Data Export

Download results in multiple formats including Excel, FASTA, and images

Technology Stack

Backend
  • • FastAPI (Python)
  • • PostgreSQL Database
  • • Celery (Task Queue)
  • • Docker Integration
Frontend
  • • Bootstrap 5
  • • JavaScript (ES6+)
  • • Chart.js / D3.js
  • • Responsive Design
Bioinformatics Tools
Custom Algorithms
  • • Unique Gene Finder
  • • GeneEye
Other (Tools)
  • • eggNOG-mapper
  • • Prokka

Real-World Use Cases

PanWSGA has been successfully applied in diverse research contexts

Tracking Antimicrobial Resistance Evolution

Monitor the emergence and spread of resistance genes across bacterial populations by identifying unique resistance determinants and tracking their distribution in clinical isolates

Strain Prioritization for Natural Product Discovery

Identify bacterial strains with unique biosynthetic gene clusters and novel secondary metabolite pathways to prioritize candidates for natural product screening

Rapid Virulence Profiling for Clinical Pathogens

Quickly assess the virulence potential of clinical isolates by identifying unique virulence factors, toxins, and pathogenicity islands compared to reference genomes

Probiotic Strain Authentication and Mechanism Discovery

Verify probiotic strain identity and discover unique mechanisms of action by comparing probiotic genomes against species pangenomes to identify strain-specific beneficial traits