A scored human protein-protein interaction network to catalyze genomic interpretation

Taibo Li, Rasmus Wernersson, Rasmus B Hansen, Heiko Horn, Johnathan Mercer, Grzegorz Slodkowicz, Christopher T. Workman, Olga Rigina, Kristoffer Rapacki, Hans Henrik Stærfeldt, Søren Brunak, Thomas S. Jensen, Kasper Lage

    Research output: Contribution to journalJournal articlepeer-review

    Abstract

    Genome-scale human protein-protein interaction networks are critical to understanding cell biology and interpreting genomic data, but challenging to produce experimentally. Through data integration and quality control, we provide a scored human protein-protein interaction network (InWeb_InBioMap, or InWeb_IM) with severalfold more interactions (>500,000) and better functional biological relevance than comparable resources. We illustrate that InWeb_InBioMap enables functional interpretation of >4,700 cancer genomes and genes involved in autism.
    Original languageEnglish
    JournalNature Methods
    Volume14
    Pages (from-to)61–64
    Number of pages6
    ISSN1548-7091
    DOIs
    Publication statusPublished - 2017

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