A wide array of tools exist for programmatically creating data visualizations; drawing tools support sophisticated visual refinement. Visualization practitioners can find it invaluable to transition their visualizations between these tools, creating an initial visualization programmatically and then importing the result into a drawing tool for refinement. Transitions between tools, however, lose the connection to the underlying data. This loss of information makes it impossible to go back and alter data or its representation after making changes in a drawing tool without manually redoing significant amounts of work. To address this incompatibility of tools, we propose a model that captures the work done in the creation of a visualization as data correspondences and visual deltas. We demonstrate the feasibility of iteration, and its utility, with a software system the preserves both data correspondences and visual deltas, allowing migration of a visualization from a data manipulation environment, through a drawing tool, and back. The preservation model, as well as our experience with a software system that implements this model, informs future visualization toolkit development, as well as future standards for visualization file formats.
Posted by: Nathan Galli
ENCODE (The Encyclopedia of DNA) is a massive project initiated on a pilot basis in 2003 by NHGRI. Its humble goal was "to functionally annotate all of the elements in the human genome." Our small statistical and computational group has been associated with the project, including its partner "modENCODE," since 2007. In this talk, after sketching briefly what I view as major accomplishments of this project, I will discuss some of the contributions of our statistical and computational group to this essentially wet-lab enterprise.
Short Bio:
Peter Bickel is Professor of Statistics, University of California, Berkeley. He was awarded an honorary Doctorate degree from the Hebrew University, Jerusalem in 1986. He is past President of the Bernoulli Society and of the Institute of Mathematical Statistics, a MacArthur Fellow, a COPSS prize winner, and a member of the American Academy of Arts and Sciences and of the National Academy of Sciences.