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IMPaLA specifications

Information


Unique identifier OMICS_10367
Name IMPaLA
Alternative name Integrated Molecular Pathway-Level Analysis
Interface Web user interface
Restrictions to use Academic or non-commercial use
Input data Some genes and/or metabolites.
Computer skills Basic
Version 10
Stability Stable
Maintained Yes

Maintainers


  • person_outline Atanas Kamburov <>
  • person_outline Hector Keun <>
  • person_outline Rachel Cavill <>

Publication for Integrated Molecular Pathway-Level Analysis

IMPaLA citations

 (26)
library_books

Multiomics biomarkers for the prediction of nonalcoholic fatty liver disease severity

2018
PMCID: 5910543
PMID: 29686467
DOI: 10.3748/wjg.v24.i15.1601

[…] has been applied to demonstrate alterations in metabolic pathways associated with nafld[]., as a proof of principle, as a part of this work, we performed omics-integrative analysis using the impala (integrated molecular pathway level analysis, http://impala.molgen.mpg.de)[] platform. briefly, the analysis was conducted by integrating the information on metabolites, genes and proteins, […]

library_books

Colorectal cancer patients with different C reactive protein levels and 5 year survival times can be differentiated with quantitative serum proteomics

2018
PMCID: 5891022
PMID: 29630649
DOI: 10.1371/journal.pone.0195354

[…] by anova, principal component analysis (pca), orthogonal projections to latent structures discriminant analysis (opls-da)-modeling and opls-da-associated s-plot. pathway analysis was performed using integrated molecular pathway level analysis (impala) and ingenuity pathway analysis (ipa). in our pilot study, we propose several potential biomarkers, which have good statistical significance., […]

library_books

Sphingolipid Metabolism Is Dysregulated at Transcriptomic and Metabolic Levels in the Spinal Cord of an Animal Model of Amyotrophic Lateral Sclerosis

2018
PMCID: 5758557
PMID: 29354030
DOI: 10.3389/fnmol.2017.00433

[…] were considered for this analysis. parameters were set to a minimum overlap of four distinct metabolites and a p-value cutoff of 0.001. pathway over-representation analysis was conducted by using impala (kamburov et al., ) with genes and lipid metabolites whose levels were altered in sod1g86r mice. pathways represented by at least 3 genes and 3 lipid metabolites and with q-value […]

library_books

Evaluation and comparison of bioinformatic tools for the enrichment analysis of metabolomics data

2018
PMCID: 5749025
PMID: 29291722
DOI: 10.1186/s12859-017-2006-0

[…] and chebi. however, these databases had duplicated entries and might present false positives. the performance of over-representation analysis (ora) tools, including biocyc/humancyc, consensuspathdb, impala, mbrole, metaboanalyst, metabox, metexplore, mpea, pathvisio and reactome and the mapping tool keggrest, was examined. results were mostly consistent among tools and between real and enriched […]

library_books

Integrated Proteomic and Metabolomic prediction of Term Preeclampsia

2017
PMCID: 5700929
PMID: 29170520
DOI: 10.1038/s41598-017-15882-9

[…] analysis and relative “betweenness centrality” was chosen for pathway topology testing. pathways with a p-value < 0.05 were considered to be altered due to the disease., the online tool, integrated molecular pathway level analysis (impala) was employed for the integrated metabolomics and proteomic pathway over-representation analysis. proteins were identified using uniprot […]

library_books

Role of omics techniques in the toxicity testing of nanoparticles

2017
PMCID: 5697164
PMID: 29157261
DOI: 10.1186/s12951-017-0320-3

[…] factor for the outcome of omics studies. most researchers use ingenuity pathway analysis (ipa) that allows handling of transcriptomics, proteomics and metabolomics data. free software programs (e.g. integrated molecular pathway level analysis, impala) have similar capacities to analyze data obtained by all these techniques []. impala and ipeap (integrative pathway enrichment analysis platform) […]


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IMPaLA institution(s)
Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany; Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands; Biomolecular Medicine, Department of Surgery and Cancer, Imperial College London, London, UK
IMPaLA funding source(s)
Supported by International Max Planck Research School for Computational Biology and Scientific Computing and EU APO-SYS project (HEALTH-F4-2007-200767); EU CarcinoGENOMICS consortium, contract No. (PL037712); BMBF NGFN-transfer project (01GR0809).

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