Graphical representation of DNA sequences and the application research of clustering analysis

This article proposed a new 3D graphic representation with non-degeneration on the basis of studying gene sequences representation model. This representation can avoid the overlap or cross without losing biological information. This method was used to abstract character of H5N1 virus gene and propose a clustering analysis based on multi-dimension Pseudo F-Statistics (PFS) parameter. In the procedure of clustering, the numerical characterization matrix was used as analytic data source. The result shows that it is rational to make clustering analysis on the gene character abstract from the new graphic representation.