The Bioinformatics & Biostatistics Shared Resource (BBISR) at Winship Cancer Institute is hosting a series of ‘do it yourself’ workshops. The intent of the workshops is to introduce biostatistics and bioinformatics application tools for cancer research, and to equip investigators with tools to enable efficient data mining that will help in formulating specific research questions to address with the BBISR team. Each workshop will provide detailed instruction on the use of the specific tool presented in addition to informing on the guiding principles behind it. All application tools developed by the BBISR can be accessed directly from the BBISR website.
Workshop participants must bring their own laptops to the workshop and are encouraged to bring their own data, in addition to the supplied data. The number of participants in each workshop is limited to 10. You must pre-register by May 15.
BBISR “Do it Yourself” Workshop Series: Defining Gene Outliers - Using Gene Outlier Profile Ensemble Analysis (G-OPEA)
Friday, June 16, 1:00 pm - 3:30 pm
718 Gatewood Rd. NE, Atlanta GA 30329
There is no parking at this location. Please use the Emory shuttle or walk. If you drive, you'll have to pay to park at the Michael Street deck (550 Houston Mill Road, Atlanta, 30322.)
How to define genes as outliers based on a combination of outlier statistics and a combination of changes in expression, copy number, methylation, and variant allele frequencies?
With G-OPEA, you can use:
- Any genomic data set with 2-sample groups
- Common methods to detect outliers or their combinations
With G-OPEA, you can define:
- Cancer gene outliers using expression, methylation, copy number or other genomic data
- Statistical significance of gene outlier
- Sample outliers for the detected gene outlier