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Bioinformatics Visualization
HCIL conducts other research in Biodiversity Informatics visualization
Introduction
The Human-Computer Interaction
Lab at the University of
Maryland pursues several projects with applications to
bioinformatics, especially analysis of genomic data from microarray
gene chips. We cooperate with the Center for
Bioinformatics and Computational Biology.
Our work in this area uses the principles of Information
Visualization to develop tools that can be used to
interactively analyze the ever-larger data sets that result
from continuing advances in bioinformatics.
Our current efforts have been focused on two types of data sets:
- Microarray data: Data sets containing expression levels for 100-20,000 genes under 2-40 experimental conditions
- Nucleotide Sequence data: Analyzing nucleotide sequences in order to find weak signals involved in splicing.
Projects
Participants
Collaborators
Publications
- Seo, J.; Bakay, M.; Zhao, P.; Chen, Y-W.; Clarkson, P.;
Shneiderman, B., and Hoffman, E.P. Interactive Color Mosaic and
Dendrogram Displays for Signal/Noise Optimization in Microarray Data
Analsyis. Proceedings, 2003 IEEE
International Conference on Multimedia and Expo
- Hochheiser, H.; Baehrecke, E.H.; Mount, S.M.; and Shneiderman,
B. Dynamic Querying for Pattern Identification in Microarray and
Genomic Data. Proceedings, 2003 IEEE
International Conference on Multimedia and Expo
- Seo, J. and Shneiderman, B. Understanding
Hierarchical Clustering Results by Interactive Exploration of
Dendrograms: A Case Study with Genomic Microarray Data IEEE
Computer Special Issue on Bioinformatics, July 2002. Volume 35,
No. 7, pp. 80-86.
Events
To promote interest in and research on visualization tools for
bioinformatics, we organized a day-long workshop with 14 presentations:
Workshop
on Bioinformatics Visualization - May 30, 2002
Links
HCIL Research on Visualization:
http://www.cs.umd.edu/hcil/research/visualization.shtml
Website designed by Harry Hochheiser
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