JSM 2005 Online Program

Abstract #304258

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	34
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Biopharmaceutical Section
Abstract - #304258
Title:	Using Statistical Growth-curve Models To Quantify the Information in Phenotype Microarray Experiments
Author(s):	Imola Fodor*+ and David O. Nelson and Ann E. Holtz and Sandra L. McCutchen-Maloney
Companies:	Lawrence Livermore National Laboratory and Lawrence Livermore National Laboratory and Lawrence Livermore National Laboratory and Lawrence Livermore National Laboratory
Address:	7000 East Avenue, Livermore, CA, 94551, United States
Keywords:	genomics ; phenomics ; high throughput ; microarray ; growth curve ; bioinformatics
Abstract:	Phenotype MicroArrays (PMs), developed by Biolog, Inc., provide a simple means of studying cellular phenotypes. In essence, the technology measures the respiration of different cells as a function of time in thousands of microwells simultaneously. The microwells contain different chemicals involved in different cellular pathways. The information from PMs can then be used to identify gene function and in drug development. We describe PMs and indicate how to use statistical growth-curve analysis to quantify observed differences in the growth and metabolism of bacterial cells under different environmental conditions.

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