Annotation of gene product function from high-throughput studies using the Gene Ontology.
Huntley, Rachael P
Lovering, Ruth C
Van Auken, Kimberly M
Gene Ontology Consortium,
Database : the journal of biological databases and curation
Oxford University Press
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Attrill, H., Gaudet, P., Huntley, R. P., Lovering, R. C., Engel, S. R., Poux, S., Van Auken, K. M., et al. (2019). Annotation of gene product function from high-throughput studies using the Gene Ontology.. Database : the journal of biological databases and curation, 2019 https://doi.org/10.1093/database/baz007
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.
Gene Ontology Consortium
WELLCOME TRUST (104967/Z/14/Z)
External DOI: https://doi.org/10.1093/database/baz007
This record's URL: https://www.repository.cam.ac.uk/handle/1810/289400
Attribution 4.0 International
Licence URL: https://creativecommons.org/licenses/by/4.0/