Case Study: Visualizing Sets of Evolutionary Trees

  • Authors:
  • Nina Amenta;Jeff Klingner

  • Affiliations:
  • -;-

  • Venue:
  • INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
  • Year:
  • 2002

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Abstract

We describe a visualization tool which allows a biologist to explore a large set of hypothetical evolutionary trees. Interacting with such a dataset allows the biologist to identify distinct hypotheses about how different species or organisms evolved, which would not have been clear from traditional analyses. Our system integrates a point-set visualization of the distribution of hypothetical trees with detail views of an individual tree, or of a consensus tree summarizinga subset of trees. Efficient algorithms were required for the key tasks of computing distances between trees, finding consensus trees, and laying out the point-set visualization.