TY - JOUR T1 - A scored human protein-protein interaction network to catalyze genomic interpretation JF - bioRxiv DO - 10.1101/064535 SP - 064535 AU - T Li AU - R Wernersson AU - RB Hansen AU - H Horn AU - JM Mercer AU - G Slodkowicz AU - CT Workman AU - O Rigina AU - K Rapacki AU - HH Stærfeldt AU - S Brunak AU - TS Jensen AU - K Lage Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/07/19/064535.abstract N2 - Human protein-protein interaction networks are critical to understanding cell biology and interpreting genetic and genomic data, but are challenging to produce in individual large-scale experiments. We describe a general computational framework that through data integration and quality control provides a scored human protein-protein interaction network (InWeb_IM). Juxtaposed with five comparable resources, InWeb_IM has 2.8 times more interactions (~585K) and a superior functional signal showing that the added interactions reflect real cellular biology. InWeb_IM is a versatile resource for accurate and cost-efficient functional interpretation of massive genomic datasets illustrated by annotating candidate genes from >4,700 cancer genomes and genes involved in neuropsychiatric diseases. ER -