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Cluster visualization of upregulated HDAC1 in mouse using integration of Treeview and Galaxy

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In order to better understand genetic expression changes in experiments, microarray data is computer analyzed by tools such as the freely available Galaxy, which currently lacks microarray visualization.160 A visualization interface was built into the toolset using Python.160 It was enabled with selectable clustering algorithms which were used to analyze the RNA from mice infected with AAV to upregulate HDAC1 or LacZ.160 The HDAC enzymes have been shown to play a part in the negative regulation of types of learning. This clustering identifies other genes as likely actors in the chemistry of memory and learning.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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  • E-project-042811-165338
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  • 2011
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  • 2011-04-28
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