iPAVS

iPAVS provides integrated access to expert-curated human pathways to support pathway discovery and analysis across proteomics, transcriptomics, metabolomics, and systems biology.

Key Features:

• Pathway integration: Integrates over 500 human pathways encompassing more than 24,574 interactions.
• Pathway types: Includes metabolic, signaling, disease-related, drug-action pathways and extensive process maps sourced from other pathway resources.
• Context-specific curation: Contains expert-curated pathways derived from experimental data specific to cell types, tissues, organs, and diseases.
• Visualization standards: Employs Systems Biology Graphical Notations (SBGN) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway notations for graphical representation.
• Data handling and analysis: Supports data import, management, visualization, and analysis of pathway-related experimental data.

Scientific Applications:

• Multi-omics pathway discovery: Enables pathway discovery and interpretation across proteomics, transcriptomics, and metabolomics datasets.
• Systems biology analysis: Facilitates integrative analysis of metabolic and signaling processes within systems biology studies.
• Contextual interpretation: Supports interpretation of experimental data in the context of specific cell types, tissues, organs, and diseases.
• Drug and disease research: Supports analysis of drug-action pathways and disease-related pathway mechanisms.

Methodology:

Integrates expert-curated pathway datasets (over 500 pathways, >24,574 interactions) and provides visualization using Systems Biology Graphical Notations (SBGN) and KEGG pathway notations, with capabilities for data import, management, visualization, and analysis.