PANDA XPLORER

PANDA XPLORER integrates gene-level annotations and multi-omics datasets into curated biological pathway contexts to visualize and interpret somatic variants and other annotations for biomedical research.

Key Features:

• Integration with Biological Pathways: Maps gene-level annotations onto pathway models from KEGG, BioCarta, and PharmGKB.
• Data Visualization and Annotation: Represents annotations as icons on pathway graphs while preserving additional data elements in tabular formats.
• Custom Pathway Importation: Supports import of custom pathway models to extend coverage beyond standard databases.
• Collaborative Annotation Sharing: Supports sharing of annotations among collaborators for joint interpretation.

Scientific Applications:

• Personalized Medicine Development: Integrates genomics, transcriptomics, and proteomics data to support design of treatment plans based on specific genetic variants.
• Case Study Application: Used to interpret supplemental manuscript data and to analyze somatic variants in a metastatic sarcomatoid renal cell carcinoma case to inform a treatment strategy.

Methodology:

Maps gene-level annotations and multi-omics datasets onto pathway graphs by leveraging KEGG, BioCarta, and PharmGKB pathway data, renders annotations as icons with supplementary tabular data, and accepts imported custom pathways and shared annotation sets.