• (2010-05-03) The successor of EasyGO, agriGO, is now available. Though EasyGO analysis function will be retained, it will not be updated anymore. The update and maintain will be performed to agriGO only.
• (2009-11-23) Dear user: To provide better service, we develop a new GO concerned toolkit and database named agriGO. The agriGO is re-designed and work on a more powerful server. Try it now!
• (2009-06-01) EasyGO new version is accessible now! Try new version! New EasyGO is still a beta version, thus please feel free to contact us if you have any suggestions or comments.
• (2009-04-20) New version of EasyGO is under test in intranet. It will be public soon!
• (2009-03-10) A new version of EasyGO is under construction. We redesign the core part of EasyGO, and use Python to rewrite the scripts. More new functions are added and processing speed is faster. A beta version will be released soon.
• (2009-02-10) 10000 jobs have been performed by EasyGO! See the snapshot.
• (2008-12-12) Three new data types are added. They are: C.elegans genes (WormBase), Agilent-012795 C. elegans Oligo Microarray (GPL2875) and Agilent-015061 C. elegans Oligo Microarray (GPL7727). For details, please see consensus page.
• (2008-12-2) Email alert is now available in EasyGO! EasyGO will automatedly send Email to who has left their mail address once the analysis processing is finished. Users can also receive service & database update notifications by submit the Email address at EasyGO mailing list page.
• (2008-11-29) EasyGO's data has been updated! Four new data types added, which are: Silkworm gene names (predicted by BGI), Silkworm long oligo microarray (CapitalBio), Streptomyces avermitilis (protein coding genes), Streptomyces avermitilis microarray (Agilent). And nine new data types from Gene Indices are added, they are: wheat, orange, barley, medicago, sugarCane, tomato, populus, cotton, soybean. For details, please see consensus page.
• (2008-11-14) Due to an error in current update of annotation data, EasyGO's database has been recovered to the version of last update (2008-08-29). We are very sorry for any trouble that has caused, and we will finish bug-fixing and re-generation of annotation data as soon as possible.
• (2008-11-07) EasyGO's data has been updated! Four new data types added, which are: Silkworm gene names (predicted by BGI), Silkworm long oligo microarray (CapitalBio), Streptomyces avermitilis (protein coding genes), Streptomyces avermitilis microarray (Agilent). For details, please see consensus page.

>>> View all announcements

It is hard to identify enriched biological facts (or hidden knowledge) by merely looking through a list of interested microarray probe sets or genes, which may come from clustering analysis of microarrays or differential expression analysis. EasyGO is designed to automate this job for experimental biologists to identify enriched Gene Ontology (GO) terms in a list of microarray probe sets or genes. Finding enriched GO terms corresponds to finding enriched biological facts, and term enrichment level is judged by comparing query list to a background population from which the query list is derived. It is easy to use, and result can be browsed in advanced format, which helps biologists to gain deep insight into the data.

Web browser requirements: best on Mozilla Firefox.

1. Provide valuable and heavy support on agronomical species, including Affymetrix GeneChips of Arabidopsis thaliana, 11 crops (rice, maize, barley, wheat, sugar cane, soybean, cotton, tomato, citrus, medicago, poplar), and 3 farm animals (bovine, porcine, chicken).
2. Statistical GO term enrichment levels are analyzed on all term levels.
3. Analysis result is displayed in advanced format (indented hypertext or hierarchical tree graph).
4. Result display is highly dynamic and user can interactive with server in great ease.
5. Re-browse previous analysis result using saved session ID

Xin Zhou, Zhen Su, EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species, BMC Genomics 2007, 8:246

EasyGO is currently maintained by Zhou Du (email, in Su Zhen's Lab), assisted by Xin Zhou (email, personal page).