1. AgBase Shane Burgess, Fiona McCarthy Mississippi State University

2. 1. Who we are Ontology users: – Experimentalists: model our own functional genomics data sets – Tool developers: develop ontology-based tools for functional modeling – Ontology training: train researchers in the use of ontology- based tools Ontology developers: – Burgess: involved in development of GO immune function – McCarthy: involved in development of GO viral process terms… – AgBase biocurators: GO & PO new term requests and changes during biocuration Ontology contributors: – funded to provide GO annotations for chicken, agricultural animals, maize, cotton… – funded to provide PO annotations for maize & cotton…

3. 2. Why we use ontologies? Structure: ability to organize data Ability to capture data as information sources grow. Tools: ability to model high throughput data sets – summarizing function – functional enrichment analysis – hypothesis-testing Comparative biology: use of ontological data to understand differences between species

4. 3. Ontology Tools we are using at AgBase None Ontology contributors: – Initially used excel! – Developed in house biocuration interface for annotation Ontology developers: – Mostly minor development so we only use online ontology browser tools (e.g., QuickGO, AmiGO)

5. 4. Roadblocks How to annotate increasing number of sequences from new sequencing technologies? – No literature – Short sequences – similarity/motif finding not effective – Noncoding RNAs – Move to tissue/phenotype ontologies to capture data? Visualization – How to view functional data from multiple ontologies – Expression data, functional data and genome browser? – How to link gene products to pathways and phenotypes?

6. 5. Vision Need to employ multiple ontologies to get comprehensive functional modeling – cross-ontology queries – rapidly populating other functional ontologies (where is the “IEA pipeline” equivalent?) – enrichment analysis tools that handle multiple ontologies Manual biocuration – more effective at targeting manual effort towards “high importance” genes – moving annotation data to new species (pathogens, fungus, plants, marine invertebrates…)

7. 6. Collaborators? Type of person or resource who could help? Where are the people driving the need?