https://doi.org/10.31979/etd.tcpk-tx2n">

Publication Date

Spring 2012

Degree Type

Master's Project

Degree Name

Master of Science (MS)

Department

Computer Science

Abstract

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.

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