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A scored human protein-protein interaction network to catalyze genomic interpretation
- Source :
- Li , T , Wernersson , R , Hansen , R B , Horn , H , Mercer , J , Slodkowicz , G , Workman , C T , Rigina , O , Rapacki , K , Stærfeldt , H H , Brunak , S , Jensen , T S & Hansen , K L 2017 , ' A scored human protein-protein interaction network to catalyze genomic interpretation ' , Nature Methods , vol. 14 , no. 1 , pp. 61–64 .
- 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
- Database :
- OAIster
- Journal :
- Li , T , Wernersson , R , Hansen , R B , Horn , H , Mercer , J , Slodkowicz , G , Workman , C T , Rigina , O , Rapacki , K , Stærfeldt , H H , Brunak , S , Jensen , T S & Hansen , K L 2017 , ' A scored human protein-protein interaction network to catalyze genomic interpretation ' , Nature Methods , vol. 14 , no. 1 , pp. 61–64 .
- Notes :
- English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1322687879
- Document Type :
- Electronic Resource