Thursday, July 10

MS77
Genomic Signals and Systems

10:30 AM - 12:30 PM
Room: Royal Palm 2

Advances in high throughput technologies make it possible to record the complete genomic signals that guide the progression of cellular processes. These data hold the key to fundamental understanding of life on the molecular level, as well as answers to questions regarding diagnosis, treatment and drug development. In this minisymposium we will present recent studies, that illustrate how the mathematical modeling of these large-scale genomic data could lead beyond classification of genes and cellular samples to the discovery and ultimately also control of molecular biological mechanisms.

Organizer: Orly Alter
University of Texas at Austin
Larsson Omberg
University of Texas at Austin

10:30-10:55 New Methods for Analyzing High Throughput Sequence Data

Matteo Pellegrini and Shawn Cokus, University of California, Los Angeles

11:00-12:25 Controlling Protein Pathways and Complexes Through MicroRNAs - A Comparative Approach

Terry Gaasterland, University of California, San Diego

11:30-11:55 Integrating DNA Microarray Data From Different Studies Using Higher-Order Singular Value Decompositions

Larsson Omberg, University of Texas at Austin; Gene H. Golub, Stanford University; Orly Alter, University of Texas at Austin

12:00-12:25 Systems Genetics

Timothy Galitski, Institute for Systems Biology

Cancelled 11:00-11:25 Information Aspects of Molecular Measurement Technologies

Zohar Yakhini, Agilent Technologies