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agriGO: a GO analysis toolkit for the agricultural community

Gene Ontology (GO), the de facto standard in gene functionality description, is used widely in functional annotation and enrichment analysis. Here, we introduce agriGO, an integrated web-based GO analysis toolkit for the agricultural community, using the advantages of our previous GO enrichment tool...

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Detalles Bibliográficos
Autores principales: Du, Zhou, Zhou, Xin, Ling, Yi, Zhang, Zhenhai, Su, Zhen
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896167/
https://www.ncbi.nlm.nih.gov/pubmed/20435677
http://dx.doi.org/10.1093/nar/gkq310
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author Du, Zhou
Zhou, Xin
Ling, Yi
Zhang, Zhenhai
Su, Zhen
author_facet Du, Zhou
Zhou, Xin
Ling, Yi
Zhang, Zhenhai
Su, Zhen
author_sort Du, Zhou
collection PubMed
description Gene Ontology (GO), the de facto standard in gene functionality description, is used widely in functional annotation and enrichment analysis. Here, we introduce agriGO, an integrated web-based GO analysis toolkit for the agricultural community, using the advantages of our previous GO enrichment tool (EasyGO), to meet analysis demands from new technologies and research objectives. EasyGO is valuable for its proficiency, and has proved useful in uncovering biological knowledge in massive data sets from high-throughput experiments. For agriGO, the system architecture and website interface were redesigned to improve performance and accessibility. The supported organisms and gene identifiers were substantially expanded (including 38 agricultural species composed of 274 data types). The requirement on user input is more flexible, in that user-defined reference and annotation are accepted. Moreover, a new analysis approach using Gene Set Enrichment Analysis strategy and customizable features is provided. Four tools, SEA (Singular enrichment analysis), PAGE (Parametric Analysis of Gene set Enrichment), BLAST4ID (Transfer IDs by BLAST) and SEACOMPARE (Cross comparison of SEA), are integrated as a toolkit to meet different demands. We also provide a cross-comparison service so that different data sets can be compared and explored in a visualized way. Lastly, agriGO functions as a GO data repository with search and download functions; agriGO is publicly accessible at http://bioinfo.cau.edu.cn/agriGO/.
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spelling pubmed-28961672010-07-02 agriGO: a GO analysis toolkit for the agricultural community Du, Zhou Zhou, Xin Ling, Yi Zhang, Zhenhai Su, Zhen Nucleic Acids Res Articles Gene Ontology (GO), the de facto standard in gene functionality description, is used widely in functional annotation and enrichment analysis. Here, we introduce agriGO, an integrated web-based GO analysis toolkit for the agricultural community, using the advantages of our previous GO enrichment tool (EasyGO), to meet analysis demands from new technologies and research objectives. EasyGO is valuable for its proficiency, and has proved useful in uncovering biological knowledge in massive data sets from high-throughput experiments. For agriGO, the system architecture and website interface were redesigned to improve performance and accessibility. The supported organisms and gene identifiers were substantially expanded (including 38 agricultural species composed of 274 data types). The requirement on user input is more flexible, in that user-defined reference and annotation are accepted. Moreover, a new analysis approach using Gene Set Enrichment Analysis strategy and customizable features is provided. Four tools, SEA (Singular enrichment analysis), PAGE (Parametric Analysis of Gene set Enrichment), BLAST4ID (Transfer IDs by BLAST) and SEACOMPARE (Cross comparison of SEA), are integrated as a toolkit to meet different demands. We also provide a cross-comparison service so that different data sets can be compared and explored in a visualized way. Lastly, agriGO functions as a GO data repository with search and download functions; agriGO is publicly accessible at http://bioinfo.cau.edu.cn/agriGO/. Oxford University Press 2010-07-01 2010-04-30 /pmc/articles/PMC2896167/ /pubmed/20435677 http://dx.doi.org/10.1093/nar/gkq310 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Du, Zhou
Zhou, Xin
Ling, Yi
Zhang, Zhenhai
Su, Zhen
agriGO: a GO analysis toolkit for the agricultural community
title agriGO: a GO analysis toolkit for the agricultural community
title_full agriGO: a GO analysis toolkit for the agricultural community
title_fullStr agriGO: a GO analysis toolkit for the agricultural community
title_full_unstemmed agriGO: a GO analysis toolkit for the agricultural community
title_short agriGO: a GO analysis toolkit for the agricultural community
title_sort agrigo: a go analysis toolkit for the agricultural community
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896167/
https://www.ncbi.nlm.nih.gov/pubmed/20435677
http://dx.doi.org/10.1093/nar/gkq310
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