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_Institution :
BFS Innovation, Cognizant Technol. Solutions Pune, Pune, India
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;
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
DOI :
10.1109/VAST.2010.5651430
