DocumentCode
3333116
Title
A statistical approach to measuring alignment of genetic sequences and determining critical mutations in a viral gene sequence: VAST 2010 Mini challenge 3 award: Innovative visualization
Author
Nene, H.
Author_Institution
BFS Innovation, Cognizant Technol. Solutions Pune, Pune, India
fYear
2010
fDate
25-26 Oct. 2010
Firstpage
289
Lastpage
290
Abstract
This summarizes the approach used by the author to gain insights from the genetic sequence data of a virus outbreak. The objective is to create visualizations that help discover the origin of the outbreak and identify mutations that worsen disease characteristics. The author employs simple statistical methods to achieve the same. This exercise was done for the VAST 2010 Mini-challenge 3.
Keywords
biotechnology; data visualisation; diseases; genetic engineering; statistical analysis; VAST 2010 mini-challenge 3; critical mutations; disease characteristics; genetic sequences; measuring alignment; statistical approach; viral gene sequence; visualizations; VAST challenge; genetic sequence; visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
Conference_Location
Salt Lake City, UT
Print_ISBN
978-1-4244-9488-0
Type
conf
DOI
10.1109/VAST.2010.5651430
Filename
5651430
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