Faculty Advisor

Ryder, Elizabeth F.

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2011

Major

Biology and Biotechnology

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Biology and Biotechnology

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