Title :
Gene similarity uncovers mutation path VAST 2010 mini challenge 3 award: Innovative tool adaptation
Author :
Freire, M. ; Sopan, A.
Author_Institution :
Univ. Autonoma de Madrid, Madrid, Spain
Abstract :
The VAST 2010 minichallenge 3 dataset scenario contains a set of genetic sequences from a hypothetical disease outbreak. We describe how we used AC, a plagiarism detection tool, to find the gene sequence similarity; and ManyNets, a network analysis tool, to trace back the gene-mutations and identify the characteristics of the sequences. Our analysis won the Innovative Tool Adaptation award.
Keywords :
biology computing; cellular biophysics; data analysis; data visualisation; diseases; genetics; genomics; AC; ManyNets; VAST 2010 mini challenge 3 award; gene mutation; genetic sequence; hypothetical disease; innovative tool adaptation award; network analysis tool; plagiarism detection tool; H.5.2 [Graphical user Interface]: Visual Analytics-Gene Mutation;
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.2010.5652834
