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.
Wen, Li, "Promoter Prediction Based on E. coli Characteristics" (2012). Master's Projects. 216.