Title: "Common Themes in Statistical Bioinformatics"
Speaker: R.W. Doerge, Department of Statistics and Department of Agronomy, Purdue University
Place: Rawls (RAWL) Hall 1086
Date: August 27, 2013; Tuesday
Statistical Bioinformatics has emerged as an exciting area of research that is propelled by both science and technology. Toward this end, molecular markers, microarrays, and now next-generation sequencing technologies have pushed the boundaries of science, both computationally and analytically. With respect to mapping and quantifying transcriptomes, or assessing the epigenome next-generation sequencing technologies have certainly been established as the approach of choice. However, as the complexities of experiments continue to grow, there is still no standard practice that allows for design, processing, normalization, efficient dimension reduction and/or statistical analysis. With this in mind, a review of some of the key challenges that are general to all statistical bioinformatics investigations, namely experimental design, statistical analysis and dimensionality reduction will be discussed with an eye to future technologies that are on the horizon.