Title: "Statistical Design and Analysis of RNA-Sequencing Data"
Speaker: Paul L. Auer, Department of Statistics, Purdue University
Place: Physics (PHYS) 112; April 20, 2010, Tuesday, 4:30pm

Abstract

Next-generation sequencing is replacing microarrays as a means of investigating transcriptomes. Although there is a large literature in the proper use of experimental designs and statistical analyses for microarrays, there is as yet nothing comparable for RNA-Sequencing (RNA-Seq). In this talk, I will provide an overview of the Solexa sequencing technology, how it used for RNA-Seq projects, and some related issues with experimental design. Finally, I will introduce a new adaptive technique for testing differential expression. Results from simulations and a real data analysis will demonstrate its usefulness compared to other methods.

Associated Reading:

Paul L. Auer and R.W. Doerge. 2010. Statistical Design and Analysis of RNA-Seq Data. Genetics (in press)



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