Method for studying cellular chronomics and causal relationships of genes using fractal genomics modeling

摘要

This present invention relates to methods of manipulation, storage, modeling, visualization and quantification of datasets. One application of the present invention is related to developing point-models of datasets represented by the various points in a multi-dimensional map. The invention can be adapted to genomic analysis by Fractal Genomics Modeling (FGM) for developing single point gene models which can be used for studying cellular chronomics and causal relationships of genes. Using FGM, evidence of genes that govern fundamental clocking cycles in cell development and tissue differentiation of an organism can be produced. This clocking mechanism and the FGM methods used to produce its genetic components and function are described in this disclosure.