• Analyze data provided by the Functional Genomics Core
• Develop semi-automated analysis pipelines in order to provide more efficient support.
• Build a database of open source microarray data that will allow users to analyze associations between genes and clinical variables (stage, age, survival, etc.)
• Provide consultation, interpretation, and visualization of analysis results
• Create laboratory information management systems (LIMS) for sample and experiment inventory as well as automated data pre-processing pipelines.
• Provide software (such as Partek, IPA, etc.) to assist users with their own analysis

The following types of microarray analysis are currently supported:

1. Gene Expression Profiling
2. miRNA Profiling
3. DNA Methylation Array Analysis
4. Exon Splicing Array Analysis
5. Tiling Array Analysis
             - Includes ChIP-chip
6. CGH Array Analysis (Copy Number Analysis)
7. Drug Metabolism Analysis (DMET array)
8. Pathway analysis and functional interpretation

Visit BIC wiki for more details.