Pangenome Projection Platform

PanWSGA

Reference-Guided Pangenome Analysis for Rapid Bacterial Genome Interpretation

PanWSGA enables rapid interpretation of newly sequenced bacterial genomes using curated species-level reference pangenomes. Project your genome to isolate core, accessory, and unique genes with dynamic visualizations.

Key Features

1. Pangenome Projection of a Single-Genome

Classifies genes from a single genome as core, accessory, cloud, or unique by mapping them to a curated species pangenome. Full context without multi-genome builds.

2. Unique Gene Finder

Strict validation thresholds (≥90% identity and ≥90% coverage) to find unique genes, generating clean FASTA collections and structured logs.

3. GeneEye Visualization Module

Publication-ready summary dashboards combining gene classification and EggNOG annotations with distribution graphs, bar charts, and tabular outputs.

4. Curated Pangenome Database

Built-in database of 1,801 bacterial species-level pangenomes. Constructed from clean assemblies, uniformly reannotated, and filtered for accuracy.

5. Reproducible Pipeline

Standardized pipeline (Prokka → Unique Gene Finder → EggNOG-mapper → GeneEye) executed in a secure server-side container.

6. Fully Web-Based Execution

Runs completely in the cloud. No dependencies, installations, command line instructions, or specialized hardware needed.

How It Works

Step 1

Upload

Genome assembly in FASTA format

Step 2

Reannotation

Parsed and prepared with Prokka

Step 3

Classification

Unique Gene Finder maps sequences to references

Step 4

Annotation

EggNOG maps pathways and classifications

Step 5

Visualization

GeneEye formats classification outputs

Step 6

Downloads

Save result FASTA archives and Excel spreadsheets

Applications

Rapid Contextualization

of newly sequenced clinical and environmental isolates

Unique Gene Search

Find species-specific markers or accessory traits

Functional Profiles

Map pathways and features of pangenome segments

Scientific Reporting

Generate figures and metadata summaries for papers

Tailored for clinical, research, academic, and industrial microbiology workspaces.