IMPaLA

IMPaLA performs joint pathway-level over-representation and enrichment analysis of transcriptomics, proteomics, and metabolomics data to identify deregulated biological pathways.

Key Features:

• Multi-Omics Integration: Combines transcriptomics or proteomics with metabolomics data to enable joint pathway-level analysis.
• Pathway Analysis Capabilities: Performs over-representation and enrichment analysis on user-specified lists of metabolites and genes to identify deregulated pathways.
• Extensive Pathway Database: Leverages over 3,000 pre-annotated pathways aggregated from 11 pathway databases.
• Enhanced Detection of Deregulation: Integrates evidence across omics layers to detect pathways with altered activity that may be missed by single-omics analyses.

Scientific Applications:

• Systems Biology: Elucidating pathway-level interactions across transcriptomic, proteomic, and metabolomic layers in systems biology studies.
• Multi-Omics Research: Integrating multiple omics datasets to provide a holistic view of pathway deregulation.
• Disease Mechanism Analysis: Identifying key pathways involved in disease mechanisms.
• Drug Response Analysis: Characterizing pathway alterations associated with drug responses and other complex biological processes.

Methodology:

Integration and analysis of transcriptomics/proteomics and metabolomics data to perform pathway-level over-representation and enrichment analyses using over 3,000 pre-annotated pathways from 11 databases.