Abstract
High-throughput studies constitute an essential and valued source of information for researchers. However, high-throughput experimental workflows are often complex, with multiple data sets that may contain large numbers of false positives. The representation of high-throughput data in the Gene Ontology (GO) therefore presents a challenging annotation problem, when the overarching goal of GO curation is to provide the most precise view of a gene's role in biology. To address this, representatives from annotation teams within the GO Consortium reviewed high-throughput data annotation practices. We present an annotation framework for high-throughput studies that will facilitate good standards in GO curation and, through the use of new high-throughput evidence codes, increase the visibility of these annotations to the research community.
Funding Information
  • NHGRI (U41 HG02273)
  • National Institute of General Medical Sciences
  • UK Wellcome Trust (104967/Z/14/Z)
  • National Science Foundation Division of Biological Infrastructure (1458400)
  • European Molecular Biology Laboratory Core Funds
  • State Secretariat for Education, Research and Innovation
  • British Heart Foundation (RG/13/5/30112)
  • Biotechnology and Biological Sciences Research Council (BB/M011674/1)
  • National Institute of General Medical Sciences (U01GM120953, P20GM103446, R01GM080646, GM087371, GM064426, GM080646)
  • National Institute of Mental Health of the National Institutes of Health, National Human Genome Research Institute (U41 HG002273, U41 HG007822)
  • National Institute of Diabetes and Digestive and Kidney Diseases
  • National Institute of Allergy and Infectious Diseases
  • National Heart, Lung, and Blood Institute
  • National Eye Institute
  • National Human Genome Research Institute (U41 HG001315, U41 HG002273, U41 HG000330, U41 HG002659, U41 HG02273)
  • National Institute for Health Research, University College London Hospitals Biomedical Research Centre
  • Parkinson's UK (G-1307)
  • British Heart Foundation (RG/13/5/30112, G-1307)
  • State Secretariat for Education, Research and Innovation
  • US National Institutes of Health, National Human Genome Research Institute (U41 HG000739)
  • UK Medical Research Council (MR/N030117/1)

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