GeneTracer: Gene sequence analysis of disease mutations

Hanseung Lee; Jaegul Choo; Carsten Görg; Jaeeun Shim; Jaeyeon Kihm; Zhicheng Liu; Haesun Park; John Stasko

doi:10.1109/VAST.2010.5651434

GeneTracer: Gene sequence analysis of disease mutations

Hanseung Lee, Jaegul Choo, Carsten Görg, Jaeeun Shim, Jaeyeon Kihm, Zhicheng Liu, Haesun Park, John Stasko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Our visual analytics tool GeneTracer, developed for the VAST 2010 genetic sequence mini challenge, visualizes gene sequences of current outbreaks and native sequences along with disease characteristics. We successfully used GeneTracer in combination with data mining techniques to solve the challenge.

Original language	English
Title of host publication	VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings
Pages	291-292
Number of pages	2
DOIs	https://doi.org/10.1109/VAST.2010.5651434
Publication status	Published - 2010
Event	1st IEEE Conference on Visual Analytics Science and Technology, VAST 10 - Salt Lake City, UT, United States Duration: 2010 Oct 24 → 2010 Oct 29

Publication series

Name	VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings

Conference

Conference	1st IEEE Conference on Visual Analytics Science and Technology, VAST 10
Country	United States
City	Salt Lake City, UT
Period	10/10/24 → 10/10/29

Keywords

Gene sequence analysis
H.1.2 [information systems]: user/machine systems - human information processing
H.2.8 [database management]: database applications - data mining
VAST challenge
Visual analytics

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1109/VAST.2010.5651434

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Lee, H., Choo, J., Görg, C., Shim, J., Kihm, J., Liu, Z., Park, H., & Stasko, J. (2010). GeneTracer: Gene sequence analysis of disease mutations. In VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings (pp. 291-292). [5651434] (VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings). https://doi.org/10.1109/VAST.2010.5651434

GeneTracer : Gene sequence analysis of disease mutations. / Lee, Hanseung; Choo, Jaegul; Görg, Carsten; Shim, Jaeeun; Kihm, Jaeyeon; Liu, Zhicheng; Park, Haesun; Stasko, John.

VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings. 2010. p. 291-292 5651434 (VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, H, Choo, J, Görg, C, Shim, J, Kihm, J, Liu, Z, Park, H & Stasko, J 2010, GeneTracer: Gene sequence analysis of disease mutations. in VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings., 5651434, VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings, pp. 291-292, 1st IEEE Conference on Visual Analytics Science and Technology, VAST 10, Salt Lake City, UT, United States, 10/10/24. https://doi.org/10.1109/VAST.2010.5651434

Lee, Hanseung ; Choo, Jaegul ; Görg, Carsten ; Shim, Jaeeun ; Kihm, Jaeyeon ; Liu, Zhicheng ; Park, Haesun ; Stasko, John. / GeneTracer : Gene sequence analysis of disease mutations. VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings. 2010. pp. 291-292 (VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings).

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abstract = "Our visual analytics tool GeneTracer, developed for the VAST 2010 genetic sequence mini challenge, visualizes gene sequences of current outbreaks and native sequences along with disease characteristics. We successfully used GeneTracer in combination with data mining techniques to solve the challenge.",

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GeneTracer: Gene sequence analysis of disease mutations

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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