Visualization challenges for a new cyberpharmaceutical computing paradigm

Authors:
Russell J. Turner;Kabir Chaturvedi;Nathan J. Edwards;Daniel Fasulo;Aaron L. Halpern;Daniel H. Huson;Oliver Kohlbacher;Jason R. Miller;Knut Reinert;Karin A. Remington;Russell Schwartz;Brian Walenz;Shibu Yooseph;Sorin Istrail
Affiliations:
Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD;Celera Genomics Corporation, Rockville, MD
Venue:
PVG '01 Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics
Year:
2001

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Abstract

In recent years, an explosion in data has been profoundly changing the field of biology and creating the need for new areas of expertise, particularly in the handling of data. One vital area that has so far received insufficient attention is how to communicate the large quantities of diverse and complex information that is being generated. Celera has encountered a number of visualization problems in the course of developing tools for bioinformatics research, applying them to our data generation efforts, and making that data available to our customers. This paper presents several examples from Celera's experience. In the area of genomics, challenging visualization problems have come up in assembling genomes, studying variations between individuals, and comparing different genomes to one another. The emerging area of proteomics has created new visualization challenges in interpreting protein expression data, studying protein regulatory networks, and examining protein structure. These examples illustrate how the field of bioinformatics is posing new challenges concerning the communication of data that are often very different from those that have heretofore dominated scientific computing. Addressing the level of detail, the degree of complexity, and the interdisciplinary barriers that characterize bioinformatic problems can be expected to be a sizable but rewarding task for the field of scientific visualization.