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Updated: Jul 7, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

GS2PATH: a web-based integrated analysis tool for finding functional relationships using gene ontology and

Jin Ok Yang¹, Park Charny, Byungwook Lee

¹Korean BioInformation Center, KRIBB, Daejeon 305-806, Korea.

|February 29, 2008

Summary

GS2PATH is a web tool for gene set functional enrichment analysis using prior knowledge databases. It aids in visualizing gene set alterations within biological pathways, supporting research in disease and drug development.

Keywords:

gene ontology gene set enrichment test integrated search pathways

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Area of Science:

Bioinformatics
Systems Biology
Genomics

Background:

Functional enrichment analysis is crucial for interpreting large-scale gene expression data.
Existing tools may lack comprehensive pathway integration and visualization capabilities.

Purpose of the Study:

To introduce GS2PATH, a web-based pipeline for gene set functional enrichment analysis.
To facilitate the comparison of functional over-representations across biological pathways.
To enhance the visualization of gene set alterations within biochemical pathways.

Main Methods:

Utilizes gene ontology (GO) and pathway databases (KEGG, BioCarta).
Employs a web-based pipeline for user-friendly access.
Integrates customized color highlighting for gene set visualization on pathway maps.

Main Results:

Provides functional enrichment estimations in GO terms.
Enables computation and comparison of functional over-representations.
Generates visual representations of biochemical pathways with highlighted gene sets.

Conclusions:

GS2PATH offers a valuable tool for understanding gene set functions within biological contexts.
The system supports research areas including metabolic pathways, signal transduction, and drug development.
Visualizations aid in the direct interpretation of functional alterations.