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Entropy analysis of the genetic sequence of six species

This paper studies the genetic sequence of six species and describes a formulation of quantifying scheme inspired in the state space representation. The information of each chromosome is translated into a two dimensional plot and converted into an histogram. The information is then analysed by two methods, namely with Shannon entropy and mutual information, or the Jensen-Shannon divergence and map visualization using multi-dimensional scaling. Some similarity of the information content shows that scale is relevant. Therefore, the consideration of each chromosome length helps in getting a more clear picture of the species characteristics.