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Nat Methods DOI:10.1038/nmeth.4083

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

Publication TypeJournal Article
Year of Publication2017
AuthorsLi, T, Wernersson, R, Hansen, RB, Horn, H, Mercer, J, Slodkowicz, G, Workman, CT, Rigina, O, Rapacki, K, Stærfeldt, HH, Brunak, S, Jensen, TS, Lage, K
JournalNat Methods
Volume14
Issue1
Pages61-64
Date Published2017 01
ISSN1548-7105
KeywordsComputational Biology, Data Interpretation, Statistical, Databases, Protein, Gene Regulatory Networks, Genome, Human, Genomics, Humans, Neoplasms, Protein Interaction Maps, User-Computer Interface
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.

DOI10.1038/nmeth.4083
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/27892958?dopt=Abstract

Alternate JournalNat. Methods
PubMed ID27892958
PubMed Central IDPMC5839635
Grant ListP01 HD068250 / HD / NICHD NIH HHS / United States
R01 MH109903 / MH / NIMH NIH HHS / United States