Abstract
Information visualization is an effective method to grasp a complete view of huge data. In the field of genome science, researchers are faced with a large biological data set analysis. Large biological data set are accumulated in public web sites. They want to grasp whole view of the data and extract biological meanings from the data. We have taken an information visualization approach for supporting genome data analysis. In addition, we have chosen a wide viewing angle display, a wall type display which enables us to experiment virtual environment, as a display of visualized data. A wall type display has an ability to present large amount of data in the broad view. It will help users to see the data summary and to detect abnormal regions. In this paper, we discuss human genome data visualization using a wall type display. We could present a human chromosome data on the wall. This could help genome researchers to browse the data.
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References
Card, S.K., Mackinlay, K., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Pub, San Francisco (1999)
Cruz-Neira, C., Sandin, D.J., DeFanti, T.A.: Surround-screen projection-based virtual reality: the design and implementation of the CAVE. In: Proceedings of the 20th Annual Conference on Computer Graphics and interactive Techniques SIGGRAPH 1993, pp. 135–142. ACM, New York (1993)
The University of Minnesota, PowerWall projects, http://www.lcse.umn.edu/research/powerwall/powerwall.html
Nishimura, K., Abe, K., Ishikawa, S., Tsutsumi, S., Aburatani, H., Hirota, K., Hirose, M. :Virtual Environment Design Guidelines for Gene Expression Analysis: The Utility of a Lab Bench Metaphor and a Road Metaphor. In: IEEE Virtual Reality Conference 2004, pp.247–248 (2004)
Nishimura, K., Ishikawa, S., Abe, K., Tsutsumi, S., Aburatani, H., Hirota, K., Hirose, M.: Virtual Environment Design for Gene Selection Using Gene Expression Data. In: 10th International Conference on Human - Computer Interaction (HCI International 2003), vol. 1, pp. 1213–1217 (2003)
UCSC Genome Bioinformatics Group, University of California, Santa Cruz, USA, http://genome.ucsc.edu/
National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, USA, http://www.ncbi.nlm.nih.gov/
Montgomery, S.B., Astakhova, T., Bilenky, M., Birney, E., Fu, T., Hassel, M., Melsopp, C., Rak, M., Robertson, A.G., Sleumer, M., Siddiqui, A.S., Jones, S.J.: Sockeye: a 3D environment for comparative genomics. Genome Research 14(5), 956–962 (2004)
Ruths, D.A., Chen, E.S., Ellis, L.: Arbor 3d: an interactive environment for examining phylogenetic and taxonomic trees in multiple dimensions. Bioinformatics 16(11), 1003–1009 (2000)
Stolk, B., Abdoelrahman, F., Koning, A.H.J., Wielinga, P., Neefs, J.M., Stubbs, A., Bondt, A., Leemans, P., Spek, P.: Mining the human genome using virtual reality. In: EGPGV 2002, pp. 17–21 (2002)
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Nishimura, K., Tanikawa, T., Hirose, M. (2008). Human Genome Data Visualization Using a Wall Type Display. In: Lee, S., Choo, H., Ha, S., Shin, I.C. (eds) Computer-Human Interaction. APCHI 2008. Lecture Notes in Computer Science, vol 5068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70585-7_20
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DOI: https://doi.org/10.1007/978-3-540-70585-7_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70584-0
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