CCS Presents a High Performance Computing Tutorial
“Graphics Processor Units and IBM Cells Broadband Engines”
Guest speaker: Dr. Jamaludin Mohd-Yusof
Computational and Statistical Sciences Division,
Los Alamos National Laboratory
Friday, November 6, 2:00 - 3:00 pm
SLAB Seminar Room
Rosenstiel School.
This tutorial provides an overview of programming GPUs and CBEs, and how to use them for general purpose programming. Special emphasis will be devoted to controlling memory traffic between the CPUs and these co-processors.
Posted in CCS News|
The Bioinformatics Journal Club presents
“ Bayesian Multilevel Inference and Prior Choice for SNP Association Studies”
Thursday, November 19th, 12:00 PM
CRB 677A
Guest Speaker: Melanie Wilson, M.S., Doctoral Student, Department of Statistical Science, Duke University
Abstract: Technological advances in genotyping have given rise to hypothesis-based association studies of increasing scope. As a result, the scientific hypotheses addressed by these studies have become more complex and more difficult to address using existing analytic methodologies. Obstacles to analysis include inference in the face of multiple comparisons, complications arising from correlations among the SNPs (single nucleotide polymorphisms), choice of their genetic parameterization and missing data. In this talk I present an efficient Bayesian model search strategy that searches over the space of genetic markers and their genetic parameterization. The resulting method for Multilevel Inference of SNP Associations, MISA, allows computation of multilevel posterior probabilities and Bayes factors at the global, gene and SNP level, with the prior distribution on SNP inclusion in the model providing an intrinsic multiplicity correction. We use simulated data sets to characterize MISA’s statistical power, and show that MISA has higher power to detect association than standard procedures. Using data from the North Carolina Ovarian Cancer Study (NCOCS), MISA identifies variants that were not identified by standard methods and have been externally “validated” in independent studies.
Posted in CCS News|
