1. A scored human protein-protein interaction network to catalyze genomic interpretation.
- Author
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Li T, Wernersson R, Hansen RB, Horn H, Mercer J, Slodkowicz G, Workman CT, Rigina O, Rapacki K, Stærfeldt HH, Brunak S, Jensen TS, and Lage K
- Subjects
- Databases, Protein, Genome, Human, Humans, User-Computer Interface, Computational Biology methods, Data Interpretation, Statistical, Gene Regulatory Networks, Genomics methods, Neoplasms genetics, Neoplasms metabolism, Protein Interaction Maps genetics
- 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.
- Published
- 2017
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