Visual representation of scientific information

Bang Wong

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Great technological advances have enabled researchers to generate an enormous amount of data. Data analysis is replacing data generation as the ratelimiting step in scientific 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 scientific discovery. Examples will be drawn from the Broad Institute's Data Visualization Initiative, aimed at establishing processes for creating informative visualization models.

Original languageEnglish (US)
Article numberpt1
JournalScience Signaling
Issue number160
StatePublished - Feb 15 2011
Externally publishedYes

ASJC Scopus subject areas

  • Biochemistry
  • Cell Biology
  • Molecular Biology


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