This project created a computational biology tool to discover regulatory regions in DNA and their influence on gene expression. First, motifs in the C. elegans genome were found using an expectation maximization algorithm. Then association rules were mined to correlate the presence of motifs with cell-type expressions. A software system, CAGE, was created to perform this process. CAGE generated various types of models that pinpoint the biological significance of the motifs. The predictive accuracy of the models was assessed.

• 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.

Creator

• Lucas, Ben A.
• Blitsch, Kristin Leigh
• Towey, Sarah Kristin

Publisher

• Worcester Polytechnic Institute

Identifier

• 02D352M

Advisor

• Ryder, Elizabeth F.
• Ruiz, Carolina

Year

• 2002

Date created

• 2002-01-01

Resource type

• Major Qualifying Project

Major

• Biology & Biotechnology
• Computer Science

Rights statement

• In Copyright