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EMBL-EBI Tel. +44 (0) 1223 494 444 Wellcome Trust Genome Campus [email protected] Hinxton, Cambridgeshire, CB10 1SD, UK www.ebi.ac.uk QuickGO: a web-based tool for Gene Ontology browsing, interpretation and analysis Aleks Shypitsyna, Melanie Courtot, Elena Speretta, Alexander Holmes, Tony Sawford, Tony Wardell, Sangya Pundir, Xavier Watkins, Mark Bingley, Ricardo Antunes, Edward Turner, Maria Martin and Claire O'Donovan EMBL-European Bioinformatics Institute, Cambridge, UK This work is funded by the European Molecular Biology Laboratory, National Institutes of Health, British Heart Foundation and the Parkinson’s Gene Annotation Initiative. Email: [email protected] URL: http://www.ebi.ac.uk/GOA New Beta Version Release Now displays annotations for proteins, protein complexes as well as RNAs Proteins RNAs Protein complexes GO annotations Intuitive user-friendly design Improved indexing allows to quickly find the GO and ECO evidence terms as well as gene products Use predefined or your own sets of GO terms (SLIMs) to analyze your data and create a broad overview ALWAYS have access to your favorite GO terms Ancestor Charts Visual. Clear. Interactive. Available now for GO terms as well as ECO evidence codes. The Gene Ontology (GO) is a valuable resource for the functional annotation of gene products. In line with users’ demands to accurately capture, interpret, analyze and evaluate the available functional information on genes and their attributes, its role in the scientific community is ever more important. The Gene Ontology Annotation (GOA) project announces the release of a new version of our popular web-based tool for browsing and interpreting the GO and associated annotations, QuickGO (http://www.ebi.ac.uk/QuickGO-Beta). Search Browse the complete set of all available GO annotations here or use filters to create your own subsets Save time! Use ONE search box to look for GO terms, ECO evidence codes and gene products Add to the term basket Display ancestor chart Visualise Explore Compare Instant filters ECO evidence codes Track provenance and explore ECO codes, view their ancestor charts, filter your datasets Annotation extensions Expand the expressiveness of GO annotations, power up the analysis of your datasets, learn where, when and under which conditions your gene product plays its role
