SAS Institute/JMP Genomics - Statistical Issues in Plant Genomic Data Analysis

This is an exciting and influential time for the field of Statistics in science, especially the plant sciences. Technological advances in genomic, epigenomic and the other 'omic sciences are providing large amounts of complex massive data that are presenting a number of challenges for the biological community. Many of these challenges are deeply rooted in both computational and statistical issues that involve the size of the data, type of data, technological errors (e.g., amplification bias), multiple testing, experimental design, etc...
Date: Monday, January 14, 2013
Time: 6:10 PM-8:20 PM
Room: Royal Palm Salon 1,2,3
Organizer:
Walter F Teague
6:10 PM
Statistical Issues in Plant Genomic Data Analysis
Rebecca Doerge, Purdue University

7:10 PM
Marker Analysis for Agronomic Data in JMP Genomics 6.0
Jordan Hiller, SAS Institute Inc., JMP Division

7:40 PM
mRNA-Seq Analysis in JMP Genomics 6.0
Doug Robinson, SAS Institute Inc., JMP Division

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