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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...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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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/. |
format | Text |
id | pubmed-2896167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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