Statistics Seminar

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Date/Time:Monday, 22 Apr 2013 from 10:00 am to 10:50 am
Location:Snedecor 3105
Cost:$ 0
URL:www.stat.iastate.edu
Contact:Jeanette La Grange
Phone:515-294-3440
Channel:College of Liberal Arts and Sciences
Categories:Lectures
Actions:Download iCal/vCal | Email Reminder
"Identify-then-annotate: a third way for RNA-sequencing?", Jeff Leek, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD

RNA-sequencing is rapidly replacing microarrays as the most common approach to measure gene expression. This transition is being driven by the rapid decline in cost of sequencing and the ability to measure a wider range of gene expression phenomena. There has been an explosion of computational methods to try to keep pace with this new technology. In this talk, I will examine variability in expression measurements from RNA-sequencing, discuss the effects of technical and biological variation on expression experiments, and ask what state of the art statistics can really say about gene expression with RNA-sequencing. I will then introduce a new class of statistical estimators that can be used to quickly scan for regions of interest in RNA-sequencing experiments without incurring the orthogonal penalties of assembly or reliance on annotation.