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Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase
The catalytic activities of enzymes can be described using Gene Ontology (GO) terms and Enzyme Commission (EC) numbers. These annotations are available from numerous biological databases and are routinely accessed by researchers and bioinformaticians to direct their work. However, enzyme data may no...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343044/ https://www.ncbi.nlm.nih.gov/pubmed/30689844 http://dx.doi.org/10.1093/database/bay144 |
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author | Garapati, Phani V Zhang, Jingyao Rey, Alix J Marygold, Steven J |
author_facet | Garapati, Phani V Zhang, Jingyao Rey, Alix J Marygold, Steven J |
author_sort | Garapati, Phani V |
collection | PubMed |
description | The catalytic activities of enzymes can be described using Gene Ontology (GO) terms and Enzyme Commission (EC) numbers. These annotations are available from numerous biological databases and are routinely accessed by researchers and bioinformaticians to direct their work. However, enzyme data may not be congruent between different resources, while the origin, quality and genomic coverage of these data within any one resource are often unclear. GO/EC annotations are assigned either manually by expert curators or inferred computationally, and there is potential for errors in both types of annotation. If such errors remain unchecked, false positive annotations may be propagated across multiple resources, significantly degrading the quality and usefulness of these data. Similarly, the absence of annotations (false negatives) from any one resource can lead to incorrect inferences or conclusions. We are systematically reviewing and enhancing the functional annotation of the enzymes of Drosophila melanogaster, focusing on improvements within the FlyBase (www.flybase.org) database. We have reviewed four major enzyme groups to date: oxidoreductases, lyases, isomerases and ligases. Herein, we describe our review workflow, the improvement in the quality and coverage of enzyme annotations within FlyBase and the wider impact of our work on other related databases. |
format | Online Article Text |
id | pubmed-6343044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63430442019-01-29 Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase Garapati, Phani V Zhang, Jingyao Rey, Alix J Marygold, Steven J Database (Oxford) Original Article The catalytic activities of enzymes can be described using Gene Ontology (GO) terms and Enzyme Commission (EC) numbers. These annotations are available from numerous biological databases and are routinely accessed by researchers and bioinformaticians to direct their work. However, enzyme data may not be congruent between different resources, while the origin, quality and genomic coverage of these data within any one resource are often unclear. GO/EC annotations are assigned either manually by expert curators or inferred computationally, and there is potential for errors in both types of annotation. If such errors remain unchecked, false positive annotations may be propagated across multiple resources, significantly degrading the quality and usefulness of these data. Similarly, the absence of annotations (false negatives) from any one resource can lead to incorrect inferences or conclusions. We are systematically reviewing and enhancing the functional annotation of the enzymes of Drosophila melanogaster, focusing on improvements within the FlyBase (www.flybase.org) database. We have reviewed four major enzyme groups to date: oxidoreductases, lyases, isomerases and ligases. Herein, we describe our review workflow, the improvement in the quality and coverage of enzyme annotations within FlyBase and the wider impact of our work on other related databases. Oxford University Press 2019-01-23 /pmc/articles/PMC6343044/ /pubmed/30689844 http://dx.doi.org/10.1093/database/bay144 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Garapati, Phani V Zhang, Jingyao Rey, Alix J Marygold, Steven J Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase |
title | Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase |
title_full | Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase |
title_fullStr | Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase |
title_full_unstemmed | Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase |
title_short | Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase |
title_sort | towards comprehensive annotation of drosophila melanogaster enzymes in flybase |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343044/ https://www.ncbi.nlm.nih.gov/pubmed/30689844 http://dx.doi.org/10.1093/database/bay144 |
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