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Related Experiment Video

Updated: Apr 11, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

PANDA: pathway and annotation explorer for visualizing and interpreting gene-centric data.

Steven N Hart¹, Raymond M Moore¹, Michael T Zimmermann¹

¹Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.

|June 4, 2015

Summary

This summary is machine-generated.

Interpreting complex -omics data is challenging. PANDA (Pathway AND Annotation) Explorer is a new tool that visualizes gene annotations within biological pathways, aiding personalized medicine discovery.

Keywords:

Annotation and pathway visualization Data integration Genomics Pathway User interface Variant interpretation Visualization

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

The integration of multi-omics data (genomics, transcriptomics, proteomics) is crucial for advancing personalized medicine.
Rapid advancements in instrumentation generate vast amounts of biological data, outpacing current interpretation capabilities.

Purpose of the Study:

To develop PANDA (Pathway AND Annotation) Explorer, a web-based visualization tool designed to interpret complex, multi-source -omics data.
To integrate gene-level annotations within the context of established biological pathways (KEGG, BioCarta, PharmGKB).

Main Methods:

PANDA Explorer is a web application that visually represents gene annotations as icons on pathway graphs.
It supports the import of custom pathways for underrepresented diseases and allows data sharing among collaborators.
The tool maintains other data elements alongside visual annotations for comprehensive analysis.

Main Results:

Demonstrated ease of use by visualizing supplemental data alongside user-specific data.
Successfully applied PANDA to design a targeted treatment strategy for metastatic sarcomatoid renal cell carcinoma based on somatic variants.
Facilitated interpretation of gene-centric annotations by integrating them into biological pathway contexts.

Conclusions:

PANDA Explorer significantly enhances the interpretation of gene-centric annotations by providing visual context within biological pathways.
The tool supports personalized medicine initiatives by enabling more effective analysis of complex -omics datasets.
PANDA is accessible via download or direct web use, promoting wider adoption in research and clinical settings.