Human Genome Data Visualization Using a Wall Type Display

Authors:
Kunihiro Nishimura;Tomohiro Tanikawa;Michitaka Hirose
Affiliations:
Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan 113-8656;Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan 113-8656;Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan 113-8656
Venue:
APCHI '08 Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction
Year:
2008

Citing 4
Cited 0

Surround-screen projection-based virtual reality: the design and implementation of the CAVE

SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Readings in information visualization: using vision to think

Readings in information visualization: using vision to think
Mining the human genome using virtual reality

EGPGV '02 Proceedings of the Fourth Eurographics Workshop on Parallel Graphics and Visualization
Virtual Environment Design Guidelines for Gene Expression Analysis: The Utility of a Lab Bench Metaphor and a Road Metaphor

VR '04 Proceedings of the IEEE Virtual Reality 2004

Quantified Score

Hi-index	0.00

Visualization

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.