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 proceedingConference 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 languageEnglish
Title of host publicationVAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings
Pages291-292
Number of pages2
DOIs
Publication statusPublished - 2010 Dec 1
Externally publishedYes
Event1st IEEE Conference on Visual Analytics Science and Technology, VAST 10 - Salt Lake City, UT, United States
Duration: 2010 Oct 242010 Oct 29

Publication series

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

Conference

Conference1st IEEE Conference on Visual Analytics Science and Technology, VAST 10
CountryUnited States
CitySalt Lake City, UT
Period10/10/2410/10/29

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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  • Cite this

    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