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- Title
Visual Representation of Scientifi c Information.
- Authors
Wong, Bang
- Abstract
Great technological advances have enabled researchers to generate an enormous amount of data. Data analysis is replacing data generation as the ratelimiting step in scientifi c research. With this wealth of information, we have an opportunity to understand the molecular causes of human diseases. However, the unprecedented scale, resolution, and variety of data pose new analytical challenges. Visual representation of data offers insights that can lead to new understanding, whether the purpose is analysis or communication. This presentation shows how art, design, and traditional illustration can enable scientifi c discovery. Examples will be drawn from the Broad Institute's Data Visualization Initiative, aimed at establishing processes for creating informative visualization models.
- Publication
Science Signaling, 2011, Vol 4, Issue 160, p1
- ISSN
1945-0877
- Publication type
Article
- DOI
10.1126/scisignal.2001842