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

Research output: Contribution to journalLetterResearchpeer-review

  • Taibo Li
  • Rasmus Wernersson
  • Rasmus B Hansen
  • Heiko Horn
  • Johnathan Mercer
  • Greg Slodkowicz
  • Christopher T Workman
  • Olga Rigina
  • Kristoffer Rapacki
  • Hans H Stærfeldt
  • Brunak, Søren
  • Thomas S Jensen
  • Kasper Lage Hansen

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.

Original languageEnglish
JournalNature Methods
Issue number1
Pages (from-to)61–64
Publication statusPublished - Jan 2017

ID: 169733207