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Perceptual Principles for Scalable Sequence Alignment Visualization

Danielle Albers, Michael Gleicher
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization, page 164--164 — 2010
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Sequence alignment visualization is an important tool in understanding genomics data. Current approaches have difficulty scaling to the larger datasets becoming available. In this paper, we survey some recent results from perceptual science and show how they provide ideas for creating more scalable alignment visualization tools. We identify several principles, discuss their ramifications to the design of alignment visualizations, and show their relevance in the limitations of current approaches. We believe that by considering these principles, we can design future alignment visualization systems that will better scale to future challenges.

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BibTex references

@Article{AG10,
  author       = "Albers, Danielle and Gleicher, Michael",
  title        = "Perceptual Principles for Scalable Sequence Alignment Visualization",
  journal      = "Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization",
  pages        = "164--164",
  year         = "2010",
  doi          = "http://doi.acm.org/10.1145/1836248.1836286",
  projecturl   = "http://graphics.cs.wisc.edu/Vis/SequenceSurveyor/",
  url          = "http://graphics.cs.wisc.edu/Papers/2010/AG10"
}
 

Other publications in the database

» Danielle Albers
» Michael Gleicher