Visualizing Biomedical Data and Processes Across Space and Time Scales

Friday, 13 February 2015: 1:30 PM-4:30 PM
Room 230C (San Jose Convention Center)
Current rapid expansion of the volume and variety of biomedical data presents challenges for analyzing, interpreting, and extracting knowledge from the data. Data visualization represents an opportunity to enhance our understanding of the underlying principles that govern the data observed through scientific experimentation. The overarching challenge of the current big data paradigm is how to realize the full value of our investment in data generation. Data simulation and visualization bring together perspectives from the computational sciences, physical sciences, engineering, and life sciences to improve the analysis, integration, and interpretation of data. This session will focus on how applying data visualization approaches can advance the interpretation of data and ultimately drive discovery and innovation. Applications of data simulation and visualization to a variety of aspects of science and medicine will be discussed. Presentations will cover perspectives and challenges in visualization from genomics to imaging to human physiology.
Sean E. Hanlon, National Cancer Institute
Miriah Meyer, University of Utah
Designing Visualizations for Biologists
Karl W. Broman, University of Wisconsin
Interactive Graphics for High-Dimensional Genetic Data
W. Jim Zheng, University of Texas Health Science Center
Visualizing 3D Genomes
Frederick Streitz, Lawrence Livermore National Laboratory
Simulating and Visualizing the Electrophysiology of the Human Heart
See more of: Biology and Neuroscience
See more of: Symposia