Novel visualization method for biological sequence similarity reports

Ed H. Chi; John T. Riedl; Elizabeth Shoop; Phillip J. Barry

doi:10.1117/1.1289351

1 October 2000 Novel visualization method for biological sequence similarity reports

Ed H. Chi, John T. Riedl, Elizabeth Shoop, Phillip J. Barry

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Journal of Electronic Imaging, Vol. 9, Issue 4, (October 2000). https://doi.org/10.1117/1.1289351

Previously, we presented a system called Alignment Viewer that uses information visualization techniques to visualize similarities between a single DNA sequence and a large database of other sequences [Chi et al., IEEE Visualization ’95, pp. 44–51, IEEE CS (1995); Chi et al., IEEE Visualization ’96, pp. 133–140 and 477, IEEE CS (1996)]. In this paper, we extend, summarize, and describe the system using several interesting case studies. We present our comb glyph technique for visualizing alignments between sequences. In this paper, we also extend the original system by incorporating computational steering, and the visualization of differences between data sets. The case studies and the new extended system present our approach of extracting significant relationships in the biological data set.

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Ed H. Chi, John T. Riedl, Elizabeth Shoop, and Phillip J. Barry "Novel visualization method for biological sequence similarity reports," Journal of Electronic Imaging 9(4), (1 October 2000). https://doi.org/10.1117/1.1289351

Published: 1 October 2000

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