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

Nat Methods

Authors	Taibo Li Rasmus Wernersson Rasmus Hansen Heiko Horn Johnathan Mercer Greg Slodkowicz Christopher Workman Olga Rigina Kristoffer Rapacki Hans Stærfeldt Søren Brunak Thomas Jensen Kasper Lage
Keywords	Humans Neoplasms Computational Biology Genomics User-Computer Interface Genome, Human Databases, Protein Gene Regulatory Networks Data Interpretation, Statistical Protein Interaction Maps
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.
Year of Publication	2017
Journal	Nat Methods
Volume	14
Issue	1
Pages	61-64
Date Published	2017 01
ISSN	1548-7105
DOI	10.1038/nmeth.4083
PubMed ID	27892958
PubMed Central ID	PMC5839635
Links
Grant list	P01 HD068250 / HD / NICHD NIH HHS / United States R01 MH109903 / MH / NIMH NIH HHS / United States