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QuickGO
QuickGO News
 11 April 2016 - Beta version of new QuickGO available
Try the new beta version of QuickGO
We are pleased to announce the public availability of the beta-test version of a major new update to QuickGO.
The new version is available at http://www.ebi.ac.uk/QuickGO-Beta
Please take a moment to try it out and let us know what you think using the "Send feedback" button.
QuickGO Tips
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Many of QuickGO's displays can be clicked for more information, e.g., the ancestor chart and protein annotation table. This information includes descriptions, definitions and links to relevant pages or resources.
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The protein annotation sets displayed by QuickGO by default include both Swiss-Prot (reviewed) and TrEMBL (unreviewed) UniProtKB accessions. To retrieve only Swiss-Prot (reviewed) UniProtKB accessions use the ID mapping tool in the Annotation Toolbar on the annotation download page and select 'UniProtKB/Swiss-Prot'.
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You can retrieve annotations for 22 different sequence identifier types (such as UniProtKB, Ensembl, RefSeq or UniGene identifiers) using QuickGO's ID mapping facility. Just click on the 'ID Mapping' icon on the tool bar displayed in the Annotation download page.
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You can view the relationship of GO terms in an ontology by collecting terms into the Term Basket and then clicking on the 'Use Terms' button to visualize terms in a graph. Terms can be added to the Term Basket by using the
 icons adjacent to all GO term identifiers.
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Want to find out which terms are frequently co-annotated to your GO term of interest? Click on the 'Co-occurring Terms' tab when viewing the details on any individual GO term.
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Find out details of when QuickGO ontology or annotation information was last updated by clicking on 'Dataset' in the global tool bar.
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Statistics for an annotation set can be downloaded as a text file, enabling the data to be used to create bar graphs etc. for publication. Just click on the 'Statistics' button in the top right-hand toolbar (Annotation Toolbar) when you are viewing a set of annotations to access this feature.
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QuickGO can help make customized GO slims, which can be used to 'map up' your gene/protein identifiers to broadly categorise their functions or subcellular locations. Click here for more information.
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QuickGO's search facility can be used to find information on GO terms as well as information on annotation to distinct proteins. Just type a partial GO term name/synonym or a gene symbol, protein name or sequence identifier into the Search box.
Tutorial
You can try an interactive demo by clicking here.
Search and Filter GO annotation sets
Extensive filters are available from this page to allow the generation of specific subsets of GO annotations, mapped to sequence identifiers of your choice.
Investigate GO slims
GO slims are lists of GO terms that have been selected from the full set of terms available from the Gene Ontology project.
GO slims can be used to generate a focused view of part of the GO, or with annotation data they can be used to see how a set of proteins/genes can be broadly categorized (using annotation data and the relationships that exist between terms in the ontologies).
Further information on GO slims can be found at the GO Consortium web site.
Other resources for GO analysis
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The GO tools collection contains tools developed by the GO Consortium and by third parties.
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The AmiGO BLAST server searches the sequences from the GO Consortium protein sequence database, which comprises protein sequences of genes and gene products that have been annotated to a GO term and submitted to the GO Consortium.
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The AmiGO Term Enrichment tool finds significant shared GO terms or parents of those GO terms, used to describe the genes in the query/input set to help discover what those genes may have in common.
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The GO Online SQL Environment (GOOSE) provides a direct interface to the GO Consortium database, allowing users to run custom queries without having to install a copy of the GO Consortium database locally.
Please send comments, suggestions or bug reports to goa@ebi.ac.uk.
Click here for details of how to cite UniProt-GOA and QuickGO.
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A fast browser for Gene Ontology terms and annotations.Try the new beta version of QuickGO: http://www.ebi.ac.uk/QuickGO-Beta
