@article{Klingner:2002:CSV,
| title | = | "Case Study: Visualization of Evolutionary Trees", |
| journal | = | "IEEE Information Visualization", |
| author | = | "Jeff
Klingner AND Nina
Amenta ", |
| year | = | "2002", |
| pages | = | "71--74", |
| 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 summarizing a 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.", |
