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Submitted by pscully on Fri, 05/14/2010 - 09:00.
05/20/2010 - 16:10
05/20/2010 - 17:30
STA/BST 290: Julia Salzman (Stanford U)
Statistical Modeling of RNA-Seq Data
Thursday, May 20th, 2010 at 4.10pm, MSB 1147 (Colloquium Room)
Refreshments: 3.30pm, MSB 4110 (Statistics Lounge)
Speaker: Julia Salzman (Stanford University)
Title: Statistical Modeling of RNA-Seq Data
Abstract: Ultra High Throughput Sequencing (UHTS) is an emerging technology which promises to become as or more powerful, popular and cost-effective than current microarray technology for estimating gene expression. The method is especially powerful for detecting subtle sequence variants of a gene (called isoforms). This talk will introduce a statistical model for estimating gene expression from UHTS data, illustrate its intuitive minimal sufficient statistics and how they are computed in a feasible manner. Time permitting, extensions of this work including a study of Fisher information and the use of these techniques to study differential gene expression will be discussed. The work will be illustrated using a study of cell differentiation in mouse. This is joint work with Hui Jiang and Wing Hung Wong.