Journal article
A scored human protein-protein interaction network to catalyze genomic interpretation
Massachusetts Institute of Technology1
Department of Systems Biology, Technical University of Denmark2
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark3
Intomics A/S4
Regulatory Genomics, Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark5
University of Copenhagen6
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.
Language: | English |
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Publisher: | Nature Publishing Group US |
Year: | 2017 |
Pages: | 61-64 |
Journal subtitle: | Techniques for Life Scientists and Chemists |
ISSN: | 15487105 and 15487091 |
Types: | Journal article |
DOI: | 10.1038/nmeth.4083 |
ORCIDs: | 0000-0002-5899-0356 , 0000-0001-6918-0386 , Wernersson, Rasmus , Workman, Christopher T. and 0000-0003-0316-5866 |