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Using the Gene Ontology to Annotate Key Players in Parkinson's Disease

Foulger, RE; Denny, P; Hardy, J; Martin, MJ; Sawford, T; Lovering, RC; (2016) Using the Gene Ontology to Annotate Key Players in Parkinson's Disease. Neuroinformatics , 14 (3) pp. 297-304. 10.1007/s12021-015-9293-2. Green open access

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Abstract

The Gene Ontology (GO) is widely recognised as the gold standard bioinformatics resource for summarizing functional knowledge of gene products in a consistent and computable, information-rich language. GO describes cellular and organismal processes across all species, yet until now there has been a considerable gene annotation deficit within the neurological and immunological domains, both of which are relevant to Parkinson's disease. Here we introduce the Parkinson's disease GO Annotation Project, funded by Parkinson's UK and supported by the GO Consortium, which is addressing this deficit by providing GO annotation to Parkinson's-relevant human gene products, principally through expert literature curation. We discuss the steps taken to prioritise proteins, publications and cellular processes for annotation, examples of how GO annotations capture Parkinson's-relevant information, and the advantages that a topic-focused annotation approach offers to users. Building on the existing GO resource, this project collates a vast amount of Parkinson's-relevant literature into a set of high-quality annotations to be utilized by the research community.

Type: Article
Title: Using the Gene Ontology to Annotate Key Players in Parkinson's Disease
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s12021-015-9293-2
Publisher version: http://dx.doi.org/10.1007/s12021-015-9293-2
Language: English
Additional information: © The Author(s) 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Annotation, database, Functional annotation, Gene ontology, High-throughput analysis, Parkinson’s disease
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Cardiovascular Science > Centre for Cardiovascular Genetics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Cardiovascular Science > Pre-clinical and Fundamental Science
URI: https://discovery.ucl.ac.uk/id/eprint/1476793
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