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Monitoring changes in the Gene Ontology and their impact on genomic data analysis

BACKGROUND: The Gene Ontology (GO) is one of the most widely used resources in molecular and cellular biology, largely through the use of “enrichment analysis.” To facilitate informed use of GO, we present GOtrack (https://gotrack.msl.ubc.ca), which provides access to historical records and trends i...

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Autores principales: Jacobson, Matthew, Sedeño-Cortés, Adriana Estela, Pavlidis, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6113503/
https://www.ncbi.nlm.nih.gov/pubmed/30107399
http://dx.doi.org/10.1093/gigascience/giy103
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author Jacobson, Matthew
Sedeño-Cortés, Adriana Estela
Pavlidis, Paul
author_facet Jacobson, Matthew
Sedeño-Cortés, Adriana Estela
Pavlidis, Paul
author_sort Jacobson, Matthew
collection PubMed
description BACKGROUND: The Gene Ontology (GO) is one of the most widely used resources in molecular and cellular biology, largely through the use of “enrichment analysis.” To facilitate informed use of GO, we present GOtrack (https://gotrack.msl.ubc.ca), which provides access to historical records and trends in the GO and GO annotations. FINDINGS: GOtrack gives users access to gene- and term-level information on annotations for nine model organisms as well as an interactive tool that measures the stability of enrichment results over time for user-provided “hit lists” of genes. To document the effects of GO evolution on enrichment, we analyzed more than 2,500 published hit lists of human genes (most older than 9 years ); 53% of hit lists were considered to yield significantly stable enrichment results. CONCLUSIONS: Because stability is far from assured for any individual hit list, GOtrack can lead to more informed and cautious application of GO to genomics research.
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spelling pubmed-61135032018-08-31 Monitoring changes in the Gene Ontology and their impact on genomic data analysis Jacobson, Matthew Sedeño-Cortés, Adriana Estela Pavlidis, Paul Gigascience Technical Note BACKGROUND: The Gene Ontology (GO) is one of the most widely used resources in molecular and cellular biology, largely through the use of “enrichment analysis.” To facilitate informed use of GO, we present GOtrack (https://gotrack.msl.ubc.ca), which provides access to historical records and trends in the GO and GO annotations. FINDINGS: GOtrack gives users access to gene- and term-level information on annotations for nine model organisms as well as an interactive tool that measures the stability of enrichment results over time for user-provided “hit lists” of genes. To document the effects of GO evolution on enrichment, we analyzed more than 2,500 published hit lists of human genes (most older than 9 years ); 53% of hit lists were considered to yield significantly stable enrichment results. CONCLUSIONS: Because stability is far from assured for any individual hit list, GOtrack can lead to more informed and cautious application of GO to genomics research. Oxford University Press 2018-08-09 /pmc/articles/PMC6113503/ /pubmed/30107399 http://dx.doi.org/10.1093/gigascience/giy103 Text en © The Author(s) 2018. 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 Technical Note
Jacobson, Matthew
Sedeño-Cortés, Adriana Estela
Pavlidis, Paul
Monitoring changes in the Gene Ontology and their impact on genomic data analysis
title Monitoring changes in the Gene Ontology and their impact on genomic data analysis
title_full Monitoring changes in the Gene Ontology and their impact on genomic data analysis
title_fullStr Monitoring changes in the Gene Ontology and their impact on genomic data analysis
title_full_unstemmed Monitoring changes in the Gene Ontology and their impact on genomic data analysis
title_short Monitoring changes in the Gene Ontology and their impact on genomic data analysis
title_sort monitoring changes in the gene ontology and their impact on genomic data analysis
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6113503/
https://www.ncbi.nlm.nih.gov/pubmed/30107399
http://dx.doi.org/10.1093/gigascience/giy103
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