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...
Gespeichert in:
Veröffentlicht in: | Nucleic acids research 2010-07, Vol.38 (Web Server issue), p.W64-W70 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | W70 |
---|---|
container_issue | Web Server issue |
container_start_page | W64 |
container_title | Nucleic acids research |
container_volume | 38 |
creator | Du, Zhou Zhou, Xin Ling, Yi Zhang, Zhenhai Su, Zhen |
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/. |
doi_str_mv | 10.1093/nar/gkq310 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2896167</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>754534898</sourcerecordid><originalsourceid>FETCH-LOGICAL-c499t-d8c025d4c677e7d12f371046c742d1373b4df7f350e442f210e59e532554467a3</originalsourceid><addsrcrecordid>eNqFkU9Lw0AQxRdRtFYvfgDNTRBi989sNhERpGgVCj1oz8t2s6mxSbbdTYR-e7e0Fj15msP8ePPmPYQuCL4lOGODRrnBfLFiBB-gHmEJjSFL6CHqYYZ5TDCkJ-jU-0-MCRAOx-iEYmA8EaKH7tXclaPJXaSi0SRSjarWvvRRa221KNuosC5qP0y0oXRXtZ1TVaRtXXdN2a7P0FGhKm_Od7OPps9P78OXeDwZvQ4fx7GGLGvjPNWY8hx0uGhETmjBRHCVaAE0J0ywGeSFKBjHBoAWlGDDM8MZ5RwgEYr10cNWd9nNapNr07TBh1y6slZuLa0q5d9NU37Iuf2SNM0SkoggcL0TcHbVGd_KuvTaVJVqjO28FBw4gzRL_ydZCA44p4G82ZLaWe-dKfZ-CJabXmToRW57CfDl7w_26E8RAbjaAoWycpO2l9M3ignDJOUZAGHf3NySDw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>733564552</pqid></control><display><type>article</type><title>agriGO: a GO analysis toolkit for the agricultural community</title><source>Oxford Journals Open Access Collection</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Du, Zhou ; Zhou, Xin ; Ling, Yi ; Zhang, Zhenhai ; Su, Zhen</creator><creatorcontrib>Du, Zhou ; Zhou, Xin ; Ling, Yi ; Zhang, Zhenhai ; Su, Zhen</creatorcontrib><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/.</description><identifier>ISSN: 0305-1048</identifier><identifier>ISSN: 1362-4962</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkq310</identifier><identifier>PMID: 20435677</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Computer Graphics ; Crops, Agricultural - genetics ; Genes, Plant ; Internet ; Software</subject><ispartof>Nucleic acids research, 2010-07, Vol.38 (Web Server issue), p.W64-W70</ispartof><rights>The Author(s) 2010. Published by Oxford University Press. 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-d8c025d4c677e7d12f371046c742d1373b4df7f350e442f210e59e532554467a3</citedby><cites>FETCH-LOGICAL-c499t-d8c025d4c677e7d12f371046c742d1373b4df7f350e442f210e59e532554467a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896167/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896167/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20435677$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Du, Zhou</creatorcontrib><creatorcontrib>Zhou, Xin</creatorcontrib><creatorcontrib>Ling, Yi</creatorcontrib><creatorcontrib>Zhang, Zhenhai</creatorcontrib><creatorcontrib>Su, Zhen</creatorcontrib><title>agriGO: a GO analysis toolkit for the agricultural community</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><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/.</description><subject>Computer Graphics</subject><subject>Crops, Agricultural - genetics</subject><subject>Genes, Plant</subject><subject>Internet</subject><subject>Software</subject><issn>0305-1048</issn><issn>1362-4962</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU9Lw0AQxRdRtFYvfgDNTRBi989sNhERpGgVCj1oz8t2s6mxSbbdTYR-e7e0Fj15msP8ePPmPYQuCL4lOGODRrnBfLFiBB-gHmEJjSFL6CHqYYZ5TDCkJ-jU-0-MCRAOx-iEYmA8EaKH7tXclaPJXaSi0SRSjarWvvRRa221KNuosC5qP0y0oXRXtZ1TVaRtXXdN2a7P0FGhKm_Od7OPps9P78OXeDwZvQ4fx7GGLGvjPNWY8hx0uGhETmjBRHCVaAE0J0ywGeSFKBjHBoAWlGDDM8MZ5RwgEYr10cNWd9nNapNr07TBh1y6slZuLa0q5d9NU37Iuf2SNM0SkoggcL0TcHbVGd_KuvTaVJVqjO28FBw4gzRL_ydZCA44p4G82ZLaWe-dKfZ-CJabXmToRW57CfDl7w_26E8RAbjaAoWycpO2l9M3ignDJOUZAGHf3NySDw</recordid><startdate>20100701</startdate><enddate>20100701</enddate><creator>Du, Zhou</creator><creator>Zhou, Xin</creator><creator>Ling, Yi</creator><creator>Zhang, Zhenhai</creator><creator>Su, Zhen</creator><general>Oxford University Press</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>20100701</creationdate><title>agriGO: a GO analysis toolkit for the agricultural community</title><author>Du, Zhou ; Zhou, Xin ; Ling, Yi ; Zhang, Zhenhai ; Su, Zhen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-d8c025d4c677e7d12f371046c742d1373b4df7f350e442f210e59e532554467a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Computer Graphics</topic><topic>Crops, Agricultural - genetics</topic><topic>Genes, Plant</topic><topic>Internet</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Du, Zhou</creatorcontrib><creatorcontrib>Zhou, Xin</creatorcontrib><creatorcontrib>Ling, Yi</creatorcontrib><creatorcontrib>Zhang, Zhenhai</creatorcontrib><creatorcontrib>Su, Zhen</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Du, Zhou</au><au>Zhou, Xin</au><au>Ling, Yi</au><au>Zhang, Zhenhai</au><au>Su, Zhen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>agriGO: a GO analysis toolkit for the agricultural community</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2010-07-01</date><risdate>2010</risdate><volume>38</volume><issue>Web Server issue</issue><spage>W64</spage><epage>W70</epage><pages>W64-W70</pages><issn>0305-1048</issn><issn>1362-4962</issn><eissn>1362-4962</eissn><abstract>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/.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>20435677</pmid><doi>10.1093/nar/gkq310</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0305-1048 |
ispartof | Nucleic acids research, 2010-07, Vol.38 (Web Server issue), p.W64-W70 |
issn | 0305-1048 1362-4962 1362-4962 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2896167 |
source | Oxford Journals Open Access Collection; MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Computer Graphics Crops, Agricultural - genetics Genes, Plant Internet Software |
title | agriGO: a GO analysis toolkit for the agricultural community |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T14%3A39%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=agriGO:%20a%20GO%20analysis%20toolkit%20for%20the%20agricultural%20community&rft.jtitle=Nucleic%20acids%20research&rft.au=Du,%20Zhou&rft.date=2010-07-01&rft.volume=38&rft.issue=Web%20Server%20issue&rft.spage=W64&rft.epage=W70&rft.pages=W64-W70&rft.issn=0305-1048&rft.eissn=1362-4962&rft_id=info:doi/10.1093/nar/gkq310&rft_dat=%3Cproquest_pubme%3E754534898%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=733564552&rft_id=info:pmid/20435677&rfr_iscdi=true |