One unanswered question is how the expression of genes is controlled. Using computational tools to discover patterns in DNA, the project team designed and implemented MEBCS, a data-mining software package able to classify the expression of a novel promoter sequence. MEBCS is capable of performing multipoint analysis on putative motifs, as discovered by the system, and constructs predictive models using prior expression information. These models were tested on a C. elegans dataset collected by the project team.

• 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

• Pushee, Ian Harris
• Murphy, Brian Robert
• Tan, Frederick John
• Phu, David Q.

Publisher

• Worcester Polytechnic Institute

Identifier

• 01D322M

Advisor

• Ryder, Elizabeth F.
• Krushkal, Julia S.
• Ruiz, Carolina

Year

• 2001

Date created

• 2001-01-01

Resource type

• Major Qualifying Project

Major

• Computer Science
• Biology & Biotechnology

Rights statement

• In Copyright