Publication Date

Spring 2012

Degree Type

Master's Project

Degree Name

Master of Science (MS)


Computer Science


This project uses the characteristic in TATA-less regions on E. coli sequences to predict the promoter region before TSS, which indicate that the real gene has been located. It uses several well-known algorithms and methods such as the sliding window algorithm, and a clustering method to predict promoters. It also contains D2K algorithm and method to compare predicted result with other online promoter package result.