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agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update
The agriGO platform, which has been serving the scientific community for >10 years, specifically focuses on gene ontology (GO) enrichment analyses of plant and agricultural species. We continuously maintain and update the databases and accommodate the various requests of our global users. Here, w...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793732/ https://www.ncbi.nlm.nih.gov/pubmed/28472432 http://dx.doi.org/10.1093/nar/gkx382 |
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author | Tian, Tian Liu, Yue Yan, Hengyu You, Qi Yi, Xin Du, Zhou Xu, Wenying Su, Zhen |
author_facet | Tian, Tian Liu, Yue Yan, Hengyu You, Qi Yi, Xin Du, Zhou Xu, Wenying Su, Zhen |
author_sort | Tian, Tian |
collection | PubMed |
description | The agriGO platform, which has been serving the scientific community for >10 years, specifically focuses on gene ontology (GO) enrichment analyses of plant and agricultural species. We continuously maintain and update the databases and accommodate the various requests of our global users. Here, we present our updated agriGO that has a largely expanded number of supporting species (394) and datatypes (865). In addition, a larger number of species have been classified into groups covering crops, vegetables, fish, birds and insects closely related to the agricultural community. We further improved the computational efficiency, including the batch analysis and P-value distribution (PVD), and the user-friendliness of the web pages. More visualization features were added to the platform, including SEACOMPARE (cross comparison of singular enrichment analysis), direct acyclic graph (DAG) and Scatter Plots, which can be merged by choosing any significant GO term. The updated platform agriGO v2.0 is now publicly accessible at http://systemsbiology.cau.edu.cn/agriGOv2/. |
format | Online Article Text |
id | pubmed-5793732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57937322018-02-06 agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update Tian, Tian Liu, Yue Yan, Hengyu You, Qi Yi, Xin Du, Zhou Xu, Wenying Su, Zhen Nucleic Acids Res Web Server Issue The agriGO platform, which has been serving the scientific community for >10 years, specifically focuses on gene ontology (GO) enrichment analyses of plant and agricultural species. We continuously maintain and update the databases and accommodate the various requests of our global users. Here, we present our updated agriGO that has a largely expanded number of supporting species (394) and datatypes (865). In addition, a larger number of species have been classified into groups covering crops, vegetables, fish, birds and insects closely related to the agricultural community. We further improved the computational efficiency, including the batch analysis and P-value distribution (PVD), and the user-friendliness of the web pages. More visualization features were added to the platform, including SEACOMPARE (cross comparison of singular enrichment analysis), direct acyclic graph (DAG) and Scatter Plots, which can be merged by choosing any significant GO term. The updated platform agriGO v2.0 is now publicly accessible at http://systemsbiology.cau.edu.cn/agriGOv2/. Oxford University Press 2017-07-03 2017-05-04 /pmc/articles/PMC5793732/ /pubmed/28472432 http://dx.doi.org/10.1093/nar/gkx382 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Tian, Tian Liu, Yue Yan, Hengyu You, Qi Yi, Xin Du, Zhou Xu, Wenying Su, Zhen agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update |
title | agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update |
title_full | agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update |
title_fullStr | agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update |
title_full_unstemmed | agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update |
title_short | agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update |
title_sort | agrigo v2.0: a go analysis toolkit for the agricultural community, 2017 update |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793732/ https://www.ncbi.nlm.nih.gov/pubmed/28472432 http://dx.doi.org/10.1093/nar/gkx382 |
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