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TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology

BACKGROUND: The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. Since the beginning of GO project, various tools have been developed to perform GO enrichment analysis experiments. GO enrichment analysis has become a commonly used method of gen...

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Autores principales: Peng, Jiajie, Lu, Guilin, Xue, Hansheng, Wang, Tao, Shang, Xuequn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876092/
https://www.ncbi.nlm.nih.gov/pubmed/31760951
http://dx.doi.org/10.1186/s12859-019-3125-6
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author Peng, Jiajie
Lu, Guilin
Xue, Hansheng
Wang, Tao
Shang, Xuequn
author_facet Peng, Jiajie
Lu, Guilin
Xue, Hansheng
Wang, Tao
Shang, Xuequn
author_sort Peng, Jiajie
collection PubMed
description BACKGROUND: The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. Since the beginning of GO project, various tools have been developed to perform GO enrichment analysis experiments. GO enrichment analysis has become a commonly used method of gene function analysis. Existing GO enrichment analysis tools do not consider tissue-specific information, although this information is very important to current research. RESULTS: In this paper, we built an easy-to-use web tool called TS−GOEA that allows users to easily perform experiments based on tissue-specific GO enrichment analysis. TS−GOEA uses strict threshold statistical method for GO enrichment analysis, and provides statistical tests to improve the reliability of the analysis results. Meanwhile, TS−GOEA provides tools to compare different experimental results, which is convenient for users to compare the experimental results. To evaluate its performance, we tested the genes associated with platelet disease with TS−GOEA. CONCLUSIONS: TS−GOEA is an effective GO analysis tool with unique features. The experimental results show that our method has better performance and provides a useful supplement for the existing GO enrichment analysis tools. TS−GOEA is available at http://120.77.47.2:5678.
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spelling pubmed-68760922019-11-29 TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology Peng, Jiajie Lu, Guilin Xue, Hansheng Wang, Tao Shang, Xuequn BMC Bioinformatics Research BACKGROUND: The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. Since the beginning of GO project, various tools have been developed to perform GO enrichment analysis experiments. GO enrichment analysis has become a commonly used method of gene function analysis. Existing GO enrichment analysis tools do not consider tissue-specific information, although this information is very important to current research. RESULTS: In this paper, we built an easy-to-use web tool called TS−GOEA that allows users to easily perform experiments based on tissue-specific GO enrichment analysis. TS−GOEA uses strict threshold statistical method for GO enrichment analysis, and provides statistical tests to improve the reliability of the analysis results. Meanwhile, TS−GOEA provides tools to compare different experimental results, which is convenient for users to compare the experimental results. To evaluate its performance, we tested the genes associated with platelet disease with TS−GOEA. CONCLUSIONS: TS−GOEA is an effective GO analysis tool with unique features. The experimental results show that our method has better performance and provides a useful supplement for the existing GO enrichment analysis tools. TS−GOEA is available at http://120.77.47.2:5678. BioMed Central 2019-11-25 /pmc/articles/PMC6876092/ /pubmed/31760951 http://dx.doi.org/10.1186/s12859-019-3125-6 Text en © The Author(s) 2019 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Peng, Jiajie
Lu, Guilin
Xue, Hansheng
Wang, Tao
Shang, Xuequn
TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology
title TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology
title_full TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology
title_fullStr TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology
title_full_unstemmed TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology
title_short TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology
title_sort ts-goea: a web tool for tissue-specific gene set enrichment analysis based on gene ontology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876092/
https://www.ncbi.nlm.nih.gov/pubmed/31760951
http://dx.doi.org/10.1186/s12859-019-3125-6
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