Tutorial Details: Integrated Omic Analysis with a View Toward Next-Generation Data Sets with JMP Genomics
|Date:||Wednesday, February 10, 2010, 09:30 am - 01:00 pm|
|Instructor(s):||JMP Genomics Application Scientist Manager Doug Robinson, SAS Institute Inc., JMP Genomics Product Manager Shannon Conners, SAS Institute Inc.|
Join us at the University of Minnesota Supercomputing Institute for a tour of JMP Genomics 4.1, which offers enhanced predictive modeling and genome visualization features, support for analysis of new data types and much more. We will also demo flexible analysis options for downstream exploration of summarized data from next-gen studies.
JMP Genomics 4.1 offers an array of new features and enhancements - many of them created in response to user requests. They include:
* Support for new data types, including miRNA and tiling arrays.
* Support for 64-bit Windows desktop operating systems and an experimental client-server mode.
* New capabilities for population measures and streamlined interface for the use of Q-K matrices in association testing for users working with genotype data.
* Import capabilities for imputed genotypes and their use in association testing.
In addition, we will discuss significant enhancements to genome visualization in JMP Genomics 4.1 and improved predictive modeling features, including the addition of ROC plots and predictive modeling for survival analysis. Additions to basic and intermediate expression workflows will further streamline standard analysis of array and mRNA-seq data.
Plan now to join JMP Genomics Product Manager Shannon Conners and Application Scientist Manager Doug Robinson for a morning of discovery. Lunch will be provided after the presentation.
We are also available during the afternoon of Feb. 10 and morning of Feb. 11 for one-on-one sessions. These can either be individual tutorials or a session to help you with a specific problem with your data. These are available in one-hour blocks and you can sign up for more than an hour if you think you need it. Please register for a one-on-one session at http://www.sas.com/mailings/camp2007/c50703.html.