RT Journal Article SR Electronic T1 A scored human protein-protein interaction network to catalyze genomic interpretation JF bioRxiv FD Cold Spring Harbor Laboratory SP 064535 DO 10.1101/064535 A1 T Li A1 R Wernersson A1 RB Hansen A1 H Horn A1 JM Mercer A1 G Slodkowicz A1 CT Workman A1 O Rigina A1 K Rapacki A1 HH Stærfeldt A1 S Brunak A1 TS Jensen A1 K Lage YR 2016 UL http://biorxiv.org/content/early/2016/07/26/064535.abstract AB 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.