Annotation of gene product function from high-throughput studies using the Gene Ontology
Open Access
- 1 January 2019
- journal article
- research article
- Published by Oxford University Press (OUP) in Database: The Journal of Biological Databases and Curation
- Vol. 2019
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.Keywords
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)
This publication has 14 references indexed in Scilit:
- The FAIR Guiding Principles for scientific data management and stewardshipScientific Data, 2016
- The GOA database: Gene Ontology annotation updates for 2015Nucleic Acids Research, 2014
- Standardized description of scientific evidence using the Evidence Ontology (ECO)Database: The Journal of Biological Databases and Curation, 2014
- Biases in the Experimental Annotations of Protein Function and Their Effect on Our Understanding of Protein Function SpacePLOS Computational Biology, 2013
- Proteomic analysis of podocyte exosome-enriched fraction from normal human urineJournal of Proteomics, 2013
- Protein interaction data curation: the International Molecular Exchange (IMEx) consortiumNature Methods, 2012
- Genome-Wide Analysis of Self-Renewal in Drosophila Neural Stem Cells by Transgenic RNAiCell Stem Cell, 2011
- Mapping Organelle Proteins and Protein Complexes in Drosophila melanogasterJournal of Proteome Research, 2009
- ORFeome cloning and global analysis of protein localization in the fission yeast Schizosaccharomyces pombeNature Biotechnology, 2006
- The C. elegans Tousled-like Kinase Contributes to Chromosome Segregation as a Substrate and Regulator of the Aurora B KinaseCurrent Biology, 2005