A new alignment free genome comparison algorithm based on statistically estimated feature frequency profile

The sequence comparison is an important part in bioinformatics to understand the biological property of genome. Although the alignment based sequence comparison is traditional and reliable algorithm, alignment free methods have been actively researched because of their advantage in terms of computational complexity. In this paper, we suggest a new alignment free genome comparison scheme based on statistical approach. From sequence components, word frequency information of the sequence is estimated. By investigating the relationship between estimated frequency information and actual word frequency, the characteristics of the sequence are numerically represented. The phylogenetic tree and the sequence classification of mammalian sequences are provided to reveal the remarkable performance of our statistical algorithm.