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MonaGO: a novel gene ontology enrichment analysis visualisation system

BACKGROUND: Gene ontology (GO) enrichment analysis is frequently undertaken during exploration of various -omics data sets. Despite the wide array of tools available to biologists to perform this analysis, meaningful visualisation of the overrepresented GO in a manner which is easy to interpret is s...

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Autores principales: Xin, Ziyin, Cai, Yujun, Dang, Louis T., Burke, Hannah M. S., Revote, Jerico, Charitakis, Natalie, Bienroth, Denis, Nim, Hieu T., Li, Yuan-Fang, Ramialison, Mirana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845231/
https://www.ncbi.nlm.nih.gov/pubmed/35164667
http://dx.doi.org/10.1186/s12859-022-04594-1
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author Xin, Ziyin
Cai, Yujun
Dang, Louis T.
Burke, Hannah M. S.
Revote, Jerico
Charitakis, Natalie
Bienroth, Denis
Nim, Hieu T.
Li, Yuan-Fang
Ramialison, Mirana
author_facet Xin, Ziyin
Cai, Yujun
Dang, Louis T.
Burke, Hannah M. S.
Revote, Jerico
Charitakis, Natalie
Bienroth, Denis
Nim, Hieu T.
Li, Yuan-Fang
Ramialison, Mirana
author_sort Xin, Ziyin
collection PubMed
description BACKGROUND: Gene ontology (GO) enrichment analysis is frequently undertaken during exploration of various -omics data sets. Despite the wide array of tools available to biologists to perform this analysis, meaningful visualisation of the overrepresented GO in a manner which is easy to interpret is still lacking. RESULTS: Monash Gene Ontology (MonaGO) is a novel web-based visualisation system that provides an intuitive, interactive and responsive interface for performing GO enrichment analysis and visualising the results. MonaGO supports gene lists as well as GO terms as inputs. Visualisation results can be exported as high-resolution images or restored in new sessions, allowing reproducibility of the analysis. An extensive comparison between MonaGO and 11 state-of-the-art GO enrichment visualisation tools based on 9 features revealed that MonaGO is a unique platform that simultaneously allows interactive visualisation within one single output page, directly accessible through a web browser with customisable display options. CONCLUSION: MonaGO combines dynamic clustering and interactive visualisation as well as customisation options to assist biologists in obtaining meaningful representation of overrepresented GO terms, producing simplified outputs in an unbiased manner. MonaGO will facilitate the interpretation of GO analysis and will assist the biologists into the representation of the results. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04594-1.
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spelling pubmed-88452312022-02-16 MonaGO: a novel gene ontology enrichment analysis visualisation system Xin, Ziyin Cai, Yujun Dang, Louis T. Burke, Hannah M. S. Revote, Jerico Charitakis, Natalie Bienroth, Denis Nim, Hieu T. Li, Yuan-Fang Ramialison, Mirana BMC Bioinformatics Software BACKGROUND: Gene ontology (GO) enrichment analysis is frequently undertaken during exploration of various -omics data sets. Despite the wide array of tools available to biologists to perform this analysis, meaningful visualisation of the overrepresented GO in a manner which is easy to interpret is still lacking. RESULTS: Monash Gene Ontology (MonaGO) is a novel web-based visualisation system that provides an intuitive, interactive and responsive interface for performing GO enrichment analysis and visualising the results. MonaGO supports gene lists as well as GO terms as inputs. Visualisation results can be exported as high-resolution images or restored in new sessions, allowing reproducibility of the analysis. An extensive comparison between MonaGO and 11 state-of-the-art GO enrichment visualisation tools based on 9 features revealed that MonaGO is a unique platform that simultaneously allows interactive visualisation within one single output page, directly accessible through a web browser with customisable display options. CONCLUSION: MonaGO combines dynamic clustering and interactive visualisation as well as customisation options to assist biologists in obtaining meaningful representation of overrepresented GO terms, producing simplified outputs in an unbiased manner. MonaGO will facilitate the interpretation of GO analysis and will assist the biologists into the representation of the results. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04594-1. BioMed Central 2022-02-14 /pmc/articles/PMC8845231/ /pubmed/35164667 http://dx.doi.org/10.1186/s12859-022-04594-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Xin, Ziyin
Cai, Yujun
Dang, Louis T.
Burke, Hannah M. S.
Revote, Jerico
Charitakis, Natalie
Bienroth, Denis
Nim, Hieu T.
Li, Yuan-Fang
Ramialison, Mirana
MonaGO: a novel gene ontology enrichment analysis visualisation system
title MonaGO: a novel gene ontology enrichment analysis visualisation system
title_full MonaGO: a novel gene ontology enrichment analysis visualisation system
title_fullStr MonaGO: a novel gene ontology enrichment analysis visualisation system
title_full_unstemmed MonaGO: a novel gene ontology enrichment analysis visualisation system
title_short MonaGO: a novel gene ontology enrichment analysis visualisation system
title_sort monago: a novel gene ontology enrichment analysis visualisation system
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845231/
https://www.ncbi.nlm.nih.gov/pubmed/35164667
http://dx.doi.org/10.1186/s12859-022-04594-1
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