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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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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. |
format | Online Article Text |
id | pubmed-6113503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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