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Annotation of gene product function from high-throughput studies using the Gene Ontology.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Attrill, Helen 
Gaudet, Pascale 
Huntley, Rachael P 
Lovering, Ruth C 
Engel, Stacia R 

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.

Description

Keywords

Animals, Databases, Genetic, Gene Ontology, Genomics, High-Throughput Nucleotide Sequencing, Humans, Molecular Sequence Annotation, Sequence Analysis, DNA

Journal Title

Database (Oxford)

Conference Name

Journal ISSN

1758-0463
1758-0463

Volume Title

2019

Publisher

Oxford University Press (OUP)
Sponsorship
Medical Research Council (MR/N030117/1)
Wellcome Trust (104967/Z/14/Z)
National Human Genome Research Institute (U41HG002659)