  The main statistical distributions applicable to the analysis of genome
architecture and genome tracks are briefly discussed and critically assessed.
Although the observed features in distributions of element lengths can be
equally well fitted by the different statistical approximations, the
interpretation of observed regularities may strongly depend on the chosen
scheme. We discuss the possible evolution scenarios and describe the main
characteristics obtained with different distributions. The expression for the
assessment of levels in hierarchical chromatin folding is derived and the
quantitative measure of genome architecture inhomogeneity is suggested. This
theory provides the ground for the regular statistical study of genome
architecture and genome tracks.
