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2007
IEEE

Scalable, Dynamic Analysis and Visualization for Genomic Datasets

9 years 6 months ago
Scalable, Dynamic Analysis and Visualization for Genomic Datasets
A challenge in data analysis and visualization is to build new-generation software tools and systems to truly accelerate scientific discoveries. The recent focus of Princeton’s next-generation software project is to investigate how to develop new-generation data analysis and visualization capabilities for genomic scientists to analyze high-throughput genomic datasets. This paper describes the software tools we have recently developed to enable dynamic, large-scale data analysis and visualization of multiple datasets on large-scale, highresolution display wall systems. Our initial experience with the deployed tools at Princeton’s Lewis-Sigler Institute for Integrative Genomics is very encouraging. Scientists can effectively learn new knowledge from multiple datasets, find new insights, and generate new hypotheses that are not possible with current methods.
Grant Wallace, Matthew A. Hibbs, Maitreya J. Dunha
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where IPPS
Authors Grant Wallace, Matthew A. Hibbs, Maitreya J. Dunham, Rachel S. G. Sealfon, Olga G. Troyanskaya, Kai Li
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