Thank you for your interest in using GeneSpring. GeneSpring is a software application that contains a comprehensive set of tools for analyzing gene expression data. This tutorial provides a hands-on exploration of the variety of GeneSpring functionalities. These include, but are not limited to, identifying differential gene expression and associating expression data to biological information.

Additionally, many data visualization techniques are available to emphasize different aspects of the data. You will explore many of these features by applying them to a real set of experimental yeast data. The experiment, originally conducted by Cho et al at the R. Davis lab, measures yeast gene expression through two cell cycles.

In the following lessons of the tutorial, you will learn to:
• use different data visualization methods to find interesting genes
• apply filters to identify genes that meet user-defined criteria
• evaluate replicate data using statistical information
• use cluster analysis to organize genes with similar expression profiles
• present gene clusters with respect to biological function
• view expression data in appropriate biological pathways To learn how to import your own data, please refer to the Gene-Spring QuickStart Guide. This guide can be downloaded from http://www.silicongenetics.com/Support/gs_quickstart_guide.pdf.

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