Bacteria Genome Compression Based on the Weighted Context Model

The genome compression algorithm based on the weighted context model is present in this paper. In this algorithm, the method to construct the weighted context model is discussed. The adaptive code length of the context models are used to determine the values of the corresponding weights of models. In the coding process, the values of these weights are modified in order to achieve the minimum code length and to enhance the compression efficiency. At last, the proposed algorithm is used to the bacteria genome compression. The experiments results indicate that the algorithm present could produce better compression result than the results by other algorithms.