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Poster: Perceptual Principles for Scalable Sequence Alignment Visualization

Danielle Albers, Michael Gleicher
IEEE Information Visualization Conference Poster Proceedings — 2010
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Sequence alignment visualization is an important tool for understanding genomics data. Current approaches have difficulty scaling to the larger data sets becoming available. In this work, we survey recent results from perceptual science and show how they provide ideas for creating more scalable alignment visualization tools. We identify several principles, discuss how they inform alignment visualization design, and show their relevance to the limitations of current approaches. We describe how these principles are used to inform the design of an alignment visualization prototype.

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BibTex references

@InProceedings{AG10a,
  author       = "Albers, Danielle and Gleicher, Michael",
  title        = "Poster: Perceptual Principles for Scalable Sequence Alignment Visualization",
  booktitle    = "IEEE Information Visualization Conference Poster Proceedings",
  year         = "2010",
  note         = "to appear",
  projecturl   = "http://graphics.cs.wisc.edu/Vis/SequenceSurveyor/",
  url          = "http://graphics.cs.wisc.edu/Papers/2010/AG10a"
}
 

Other publications in the database

» Danielle Albers
» Michael Gleicher