IMPaLA: Integrated Molecular Pathway Level Analysis

pathway over-representation and enrichment analysis with expression and / or metabolite data

- example input for over-representation analysis
- example input for enrichment analysis

paste genes or proteins below

or upload a file with genes or proteins

optionally, provide genes/proteins background
for over-representation analysis

- example input for over-representation analysis
- example input for enrichment analysis

paste metabolites below

or upload a file with metabolites

optionally, provide metabolites background
for over-representation analysis

choose analysis type:
  pathway over-representation analysis
  Wilcoxon pathway enrichment analysis

or clear the form
Note that after our publication in Bioinformatics (2011), we implemented a new method for
integrating the p-values from gene- and metabolite-based pathway analyses: Fisher's method.

IMPaLA version 13 (build June 2021)
4813 pathway definitions from:
KEGG Reactome BioCyc PathwayInteractionDatabase BioCarta NetPath INOH EHMN PharmGKB SignaLink WikiPathways SMPDB

A tutorial on how to use the IMPaLA web tool is available here.
SOAP/WSDL access to the IMPaLA functions is available through ConsensusPathDB. (direct link to WSDL file)

Kamburov A, Cavill R, Ebbels TM, Herwig R, Keun HC (2011) Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLA. Bioinformatics 27: 2917-2918.
Cavill R, Kamburov A, Blagrove M, Athersuch T, Ellis J, Herwig R, Ebbels T, Keun H (2011) Consensus-phenotype integration of transcriptomic and metabolomic data implies a role for
metabolism in the chemosensitivity of tumour cells. PLoS Comput Biol 7:e1001113

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Although best efforts are applied in the development of this service, we consider no legal responsibility regarding its usefulness or information veracity.