Saturday, October 10

MS14
Computational Biology

2:15 PM - 4:15 PM
Room: Mason I - 2nd Floor

In recent years, we have seen an explosion of statistical, computational, and algorithmic advances in genetic research and intracellular interactions. Moreover, we now have the ability to process large amounts of system-level data, making computational biology an increasingly important tool in the understanding and treatment of disease. This minisymposium will address the following questions from a mathematical point of view. How can we process large amounts of data more efficiently? Which genes play a role in disease and how can we use this information to design treatment? How do the dynamics of cellular networks affect a patient's response to treatment?

Organizer: Valerie Hower
University of California, Berkeley
Anne Shiu
University of California, Berkeley

2:15-2:40 Transcription and Expression Dynamics in the Early Drosophila Embryo

Lior Pachter, Anne Shiu, and Lester Mackey, University of California, Berkeley

2:45-3:10 Participant-driven Genetics Research at 23andMe

Nick Eriksson, 23andMe

3:15-3:40 Parsimonious Assembly of Shotgun Sequencing Reads via Dilworth's Theorem

Cole Trapnell, University of Maryland, College Park

3:45-4:10 Constrained Mixture Estimation for Analysis and Robust Classification of Clinical Time Series

Alexander Schoenhuth, University of California, Berkeley

Cancelled 3:45-4:10 Mathematical Modeling of Cancer-Immunology Dynamics

L. G. de Pillis, Harvey Mudd College