A novel gene detection algorithm for prokaryotes is proposed.
The algorithm applies concepts and principles in communications theory and DSP to identify coding and noncoding regions.
The proposed algorithm is applied to several prokaryotic genome sequences.
Two Bayesian classifiers are designed to evaluate the performance of the proposed gene detection algorithm.
The algorithm performance is comparable to well-known ab initio gene detection methods such as GLIMMER and GeneMark.