Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale representation
<p>Abstract</p> <p>Background</p> <p>With the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualization tools are required to represent results of the exploratory an...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2008-05-01
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Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/9/237 |