Upcoming Methods Workshop – Statistical and Computational Analysis of RNA-seq Data and Its Applications

rna-seq

Session Title: Statistical and Computational Analysis of RNAseq Data and Its Applications
Session Type: Methods Workshop
Session Start/End Time: Saturday, Apr 05, 2014, 10:15 AM -12:15 PM
Location: Room 5, San Diego Convention Center
CME: CME-Designated
CME/CE Hours: 2
Session Description: In this workshop, we will cover key concept and best practices in RNAseq including alignment, quality control, common pitfalls, differential expression analysis, fusion detection and integration with other genomic measurements. Each talk will cover practical workflows and software and describe real world applications of each key concept.
Chairperson
Saturday, Apr 05, 2014, 10:15 AM -12:15 PM
Olivier Elemento. Weill Cornell Medical College of Cornell Univ., New York, NY
Best practices for differential expression analysis of RNA-seq data
Saturday, Apr 05, 2014, 10:15 AM -10:40 AM
Doron Betel. Weill Cornell Medical College, New York, NY
Discussion
Saturday, Apr 05, 2014, 10:40 AM -10:45 AM
RNAseq pitfalls and how to overcome them
Saturday, Apr 05, 2014, 10:45 AM -11:10 AM
Marcus Breese. Stanford University, Stanford, CA
Discussion
Saturday, Apr 05, 2014, 11:10 AM -11:15 AM
Computational approaches for detecting gene fusions using RNA-Seq
Saturday, Apr 05, 2014, 11:15 AM -11:40 AM
Christopher A. Maher. Washington Univ. School of Medicine, Saint Louis, MO
Discussion
Saturday, Apr 05, 2014, 11:40 AM -11:45 AM
Integrative transcriptomic analysis of cancer samples
Saturday, Apr 05, 2014, 11:45 AM -12:10 PM
Olivier Elemento. Weill Cornell Medical College of Cornell Univ., New York, NY
Discussion
Saturday, Apr 05, 2014, 12:10 PM -12:15 PM