W3: Visualization for Biomedical Data Analysis: From the Basics to Applications
Tuesday, April 5, 2016 | 8:00 – 11:30 am

This workshop covers core data visualization principles, the most common visualization methods for biomedical and genomic data, as well as tools that implement them. You will learn how to choose appropriate methods for your visualization problems and how to address the visualization challenges of large and heterogeneous data sets that are now common. The workshop will also review efficient approaches for the integration of algorithmic and visual analysis approaches.

Topics to be covered include:

• Perceptual principles relevant for visualization
• Visual encodings of data
• Role of visualization in data analysis
• Methods and tools for visualization of genomics data
• Challenges of visualizing large data and solutions
• Integration of visualization and data analysis

Nils Gehlenborg, Ph.D., Assistant Professor, Department of Biomedical Informatics, Harvard Medical School

Nils is currently an Assistant Professor at Harvard Medical School. Nils received his Ph.D. from the University of Cambridge and was a predoctoral fellow at the European Bioinformatics Institute (EMBL-EBI). Nils’ long-term goal is to develop computational tools that enable data-driven biomedical research, with a focus on visualization and exploration of genomics and epigenomics data. Currently, Nils is researching and developing novel tools to visualize heterogeneous data from large-scale cancer genomics studies, integration of visual and computational approaches to support sense-making in biology, and software to support reproducible research in epigenomics and genomics.