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

TY - JOUR

T1 - A scored human protein-protein interaction network to catalyze genomic interpretation

AU - Li, Taibo

AU - Wernersson, Rasmus

AU - Hansen, Rasmus B

AU - Horn, Heiko

AU - Mercer, Johnathan

AU - Slodkowicz, Greg

AU - Workman, Christopher T

AU - Rigina, Olga

AU - Rapacki, Kristoffer

AU - Stærfeldt, Hans H

AU - Brunak, Søren

AU - Jensen, Thomas S

AU - Hansen, Kasper Lage

PY - 2016/12/29

Y1 - 2016/12/29

N2 - 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.

AB - 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.

U2 - 10.1038/nmeth.4083

DO - 10.1038/nmeth.4083

M3 - Letter

C2 - 27892958

SN - 1548-7091

VL - 14

SP - 61

EP - 64

JO - Nature Methods

JF - Nature Methods

IS - 1

ER -