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2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV) (2014)
France
Nov. 9, 2014 to Nov. 10, 2014
ISBN: 978-1-4799-5215-1
pp: 103-104
Jillian Aurisano , Electronic Visualization Laboratory at the University of Illinois at Chicago, USA
Khairi Reda , Electronic Visualization Laboratory at the University of Illinois at Chicago, USA
Andrew Johnson , Electronic Visualization Laboratory at the University of Illinois at Chicago, USA
Jason Leigh , University of Hawaii at Manoa, USA
ABSTRACT
Improvements in genome sequencing technology over the past decade have driven down sequencing costs faster than Moore's Law producing a genome sequencing boom [9]. Accelerated rates of complete genome sequence production are particularly evident in bacterial genomics, where small genome sizes enable rapid and inexpensive sequencing. These large volumes of complete genome sequences have given researchers a new approach to the longstanding challenge of identifying and characterizing novel bacterial genes: comparative gene neighborhood analysis. Due to unique properties in bacterial genome organization, researchers believe that it is possible to generate hypotheses around the function and pathway membership of novel genes by examining the neighborhood around gene orthologs, or genes with highly similar sequences. Visual approaches to this problem are necessary, since subtle patterns and relationships can be missed through automated approaches, but current comparative gene neighborhood visualizations are only designed to accomodate comparisons across 2–9 genomes in a single view ( [8, 4, 6, 5, 2, 7, 3]).
INDEX TERMS
Bioinformatics, Genomics, Data visualization, Sequential analysis, Visualization, Microorganisms, Image color analysis
CITATION

J. Aurisano, K. Reda, A. Johnson and J. Leigh, "Bacterial gene neighborhood investigation environment: A large-scale genome visualization for big displays," 2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV), France, 2014, pp. 103-104.
doi:10.1109/LDAV.2014.7013210
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