Affymetrix is committed to creating educational resources for the cancer community and facilitating the sharing of best practices and workflows. If you would like to contribute or learn more about additional topics for cancer copy number, expression, and integrated genomic studies, please email your suggestions and ideas to jessica_parra@affymetrix.com.
Cancer Community User Group Meeting
At the inaugural Cancer Community User Group Meeting in November 2009, experts in the field shared information about best practices and data analysis workflows.
Topics included:
- Getting the most out of both copy number and genotyping data using the SNP Array 6.0
- The use of FFPE on Affymetrix expression arrays
- The value of integrated data analysis workflow using the SNP Array 6.0 and the Gene 1.0 ST Array
- Copy number analysis of FFPE cancer samples using our new MIP Copy Number Services
For your convenience, we've posted selected presentations from the workshop. We will update this page as new material becomes available, so please check back frequently.
User Group Meeting Presentations

Charles Mullighan
St. Jude Children's Research Hospital
Optimal analysis of microarray data to detect genetic alterations in cancer

Christine O'Keefe
Cleveland Clinic
SNP array-based cytogenetics of myeloid malignancies: diagnostic algorithms and experimental approaches

Elai Davicioni
GenomeDx Biosciences
Expression profiling in formalin-fixed paraffin-embedded samples by Affymetrix microarrays

Ian Campbell
Peter MacCallum Cancer Centre
Identification of ovarian cancer genes through integrated analysis of loss of heterozygosity, gene copy number and gene expression data

Paul Spellman
Berkeley Cancer Genome Center, Lawrence Berkeley National Laboratory
The utility of allele-specific copy number

Mahfoud Assem
University of Iowa
Integrated genomics as a tool to enhance diagnosis and personalize chemotherapies of diffuse gliomas

Josh Schiffman
Huntsman Cancer Institute
Use of Molecular Inversion Probes (MIPs) to detect copy number changes in the pediatric cancer genome

