Complex Data Visualization: Approach and Application

This Biotech Symposium will focus on the visualization and representation of analytic results from complex data sets. Dropping costs of DNA sequencing coupled with the development of various sequencing modalities are driving the generation of large, complex genomics datasets. In addition, longitudinal sampling and the pairing of genomics data with real-time data collection from wearable devices promise to increase the complexity of analyses. In this context, visualization techniques are likely to play a crucial role in making results understandable.

Çağatay Demiralp, Ph.D.
Stanford University
Visualize First, Ask Questions Later: How to Explore Thousands of Genomic Sequences Interactively

Nils Gehlenborg, Ph.D.
Harvard Medical School
Visual Exploration of Clinical and Genomic Data for Patient Stratification

Cydney Nielsen, Ph.D.
British Columbia Cancer Agency
Visualizing Cancer Genomes: Techniques and Challenges

Nikolaus Schultz, Ph.D.
Memorial Sloan-Kettering Cancer Center
The cBioPortal for Cancer Genomics