Graphical representations of DNA sequences assigning the four individual nucleotides to designated axes on a Cartesian grid provide a more direct visual indication of the progression of nucleotides in a sequence, akin, in some respects, to the Wilson cloud chamber for particle tracks. The first graphical representation of a DNA sequence was proposed by Hamori and Ruskin [9] based on a 3D Cartesian axis system that generated a visual map of the sequence of bases in a selected DNA sequence. A 2D representation was proposed by Gates [10] and rediscovered independently by Nandy [11] and Leong & Morgenthaler [12] , with different axes identifications for the four bases. These were followed subsequently by many different approaches to render a visual representation of the DNA sequences [13, 14] , and their applications have been found to be very useful in elucidating different characteristics of DNA sequences that are not easily accessible in other ways. For example, Gates [10] referred to large scale structures seen in the plots of some sequences; such structures were also reported by Nandy and Nandy [15] , and recently by Larionov et al [16] who reported, inter alia, the presence of gigantic palindromes in mouse and human chromosomal sequences. Liao et al [17] have shown that 2D graphical methods that convert a DNA sequence to a series of co-ordinates and therefrom construct distance matrices can be used for computation of molecular phylogeny without need for multiple alignments; Wang et al [18] constructed a 3D representation in which a DNA sequence could be denoted mathematically and a similarity matrix constructed for multiple sequences to derive a phylogenetic tree by virtue of the fuzzy theory. Lo et al [19] have shown using a 3D trajectory method that global views of DNA sequences can be obtained such that different types of DNA sequences can be easily distinguished and any local differences and similarities between two DNA sequences can also be easily observed.