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  Analyzing and interpreting genome data at the network level with ConsensusPathDB

Herwig, R., Hardt, C., Lienhard, M., & Kamburov, A. (2016). Analyzing and interpreting genome data at the network level with ConsensusPathDB. Nature Protocols, 11(10), 1889-1907. doi:10.1038/nprot.2016.117.

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© 2016 Macmillan Publishers Limited, part of Springer Nature
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Herwig, R.1, Autor           
Hardt, C.1, Autor           
Lienhard, M.1, Autor           
Kamburov, A., Autor
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1Bioinformatics (Ralf Herwig), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_2385701              

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 Zusammenfassung: ConsensusPathDB consists of a comprehensive collection of human (as well as mouse and yeast) molecular interaction data integrated from 32 different public repositories and a web interface featuring a set of computational methods and visualization tools to explore these data. This protocol describes the use of ConsensusPathDB (http://consensuspathdb.org) with respect to the functional and network-based characterization of biomolecules (genes, proteins and metabolites) that are submitted to the system either as a priority list or together with associated experimental data such as RNA-seq. The tool reports interaction network modules, biochemical pathways and functional information that are significantly enriched by the user's input, applying computational methods for statistical over-representation, enrichment and graph analysis. The results of this protocol can be observed within a few minutes, even with genome-wide data. The resulting network associations can be used to interpret high-throughput data mechanistically, to characterize and prioritize biomarkers, to integrate different omics levels, to design follow-up functional assay experiments and to generate topology for kinetic models at different scales.

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Sprache(n): eng - English
 Datum: 2016-09-082016-10
 Publikationsstatus: Erschienen
 Seiten: 19
 Ort, Verlag, Ausgabe: -
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 Identifikatoren: PMID: 27606777
DOI: 10.1038/nprot.2016.117
ISSN: 1750-2799 (Electronic)
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Titel: Nature Protocols
  Andere : Nat. Protoc.
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 11 (10) Artikelnummer: - Start- / Endseite: 1889 - 1907 Identifikator: ISSN: 1750-2799
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000223800_1