Abstract

We describe here the vision, motivations, and research plans of the National Institutes of Health Center for Excellence in Big Data Computing at the University of Illinois, Urbana-Champaign. The Center is organized around the construction of "Knowledge Engine for Genomics" (KnowEnG), an E-science framework for genomics where biomedical scientists will have access to powerful methods of data mining, network mining, and machine learning to extract knowledge out of genomics data. The scientist will come to KnowEnG with their own data sets in the form of spreadsheets and ask KnowEnG to analyze those data sets in the light of a massive knowledge base of community data sets called the "Knowledge Network" that will be at the heart of the system. The Center is undertaking discovery projects aimed at testing the utility of KnowEnG for transforming big data to knowledge. These projects span a broad range of biological enquiry, from pharmacogenomics (in collaboration with Mayo Clinic) to transcriptomics of human behavior.

Original languageEnglish (US)
Pages (from-to)1115-1119
Number of pages5
JournalJournal of the American Medical Informatics Association
Volume22
Issue number6
DOIs
StatePublished - 2015

Keywords

  • BD2K
  • Big data
  • Genomics
  • Network analysis
  • Scalable

ASJC Scopus subject areas

  • Health Informatics

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