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

Authors :
Li, Taibo
Wernersson, Rasmus
Hansen, Rasmus B
Horn, Heiko
Mercer, Johnathan
Slodkowicz, Greg
Workman, Christopher T
Rigina, Olga
Rapacki, Kristoffer
Stærfeldt, Hans H
Brunak, Søren
Jensen, Thomas S
Lage, Kasper
Source :
Nature Methods; January 2017, Vol. 14 Issue: 1 p61-64, 4p
Publication Year :
2017

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.

Details

Language :
English
ISSN :
15487091 and 15487105
Volume :
14
Issue :
1
Database :
Supplemental Index
Journal :
Nature Methods
Publication Type :
Periodical
Accession number :
ejs40947353
Full Text :
https://doi.org/10.1038/nmeth.4083