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Visualizing Sequence Data at Scale

Drawing on work in perception and visualization, we are creating visualization tools targeting the analysis of large sequence datasets. We have apply our techniques across multiple domains, ranging from whole genome alignments of hundreds of genomes to word count data from both the Google N-Grams and copra of literary texts.

Related Publications:

Danielle Albers, Colin Dewey, Michael Gleicher.  Sequence Surveyor: Leveraging Overview for Scalable Genomic Alignment Visualization.  IEEE Transactions on Visualization and Computer Graphics (TVCG ’11), 17, 12, pp 2392-2401. Dec 2011.

Danielle Albers, Colin Dewey, Michael Gleicher.  Sequence Surveyor: Scalable Multiple Sequence Alignment Overview Visualization.  2011 VIZBI Workshop of Visualizing Biological Data (VISBI ’11).

Danielle Albers, Michael Gleicher.  Perceptual Principles for Scalable Sequence Alignment Visualization.  7th Symposium on Applied Perception in Graphics and Visualization (APGV ’10).

Project Page: http://graphics.cs.wisc.edu/Vis/SequenceSurveyor

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