1. Workshop Aims
GO Workshop
3-6 August 2010

2. Aims of this Workshop WIIFM?
modeling examples
background information about GO modeling
Strategies for functional modeling of high throughput data sets (eg. arrays, proteomics, RNA-Seq)
Continued support to help with modeling

4. "Today’s challenge is to realise greater knowledge and understanding from the data-rich opportunities provided by modern high-throughput genomic technology." Professor Andrew Cossins, Consortium for Post-Genome Science, Chairman.

8. Workshop Aims: understand how ontologies can be used to organise data
learn about the Gene Ontology (GO) and how it can help you model functional genomics data
gain experience in using GO based tools for functional modeling
discussion of bioinformatics resources required to support functional modeling of IITA crops data
continuing support via the AgBase database

9. Who uses GO? http://www.ebi.ac.uk/GOA/users.html9

10. Functional Modeling Approaches
GO analysis
functional representation of gene products
need to add your own GO?
Pathway analysis
GO Biological Process includes some pathways, but may not be comprehensive
organism specific pathway information is limited
Network analysis
GO Molecular Function includes interaction data, but may not be comprehensive/hard to extract
interactions – key molecules
regulation of system

11. Functional Modeling Considerations
Should I add my own GO?
use GOProfiler to see how much GO is available for your species
use GORetriever to see how much GO is available for your dataset
Should I do GO analysis and pathway analysis and network analysis?
different functional modeling methods show different aspects about your data (complementary)
is this type of data available for your species (or a close ortholog)?
What tools should I use?
which tools have data for your species of interest?
what type of accessions are accepted?
availability (commercial and freely available)

12. Key Points
Modeling is subordinate to the biological questions/hypotheses.
Together the Gene Ontology and canonical genetic networks/pathways provide the central and complementary foundation for modeling functional genomics data.
Annotation follows information and information changes daily: STEP 1 in analyzing functional genomics data is re-annotating your dataset.
There is no “right answer”: different ways of looking at your data will give you different insights.

13. For continuing support and assistance please contact:
Tools and materials from this workshop will be available online at the AgBase database Educational Resources link.
For continuing support and assistance please contact:
This workshop is supported by NABDA and the USDA CSREES