Description/Abstract: The Human Genome Project revealed that protein-coding sequences constitute approximately 1.5% of the human genome. The remaining 98.5% was initially classified as "junk DNA." This paper proposes that the organizational logic of the non-coding genome has not been identified because the analytical framework applied to it has been fundamentally inappropriate. Genetics has analyzed DNA as a linear information system — a sequence of instructions with functional regions separated by non-functional space. This is a linear model applied to a system that satisfies every classification criterion for a fractal geometric information architecture: fundamental nonlinearity, self-similarity across scales, sensitive dependence on initial conditions, fractal dimensionality in its spatial organization, and power-law scaling relationships throughout its organizational structure. The paper proposes that the non-coding genome is the fractal architecture of the genetic information system — the multi-scale coupling structure that connects molecular-level gene expression to cellular-level behavior to tissue-level organization to organism-level phenotype. Epigenetics is reframed not as a separate information layer but as the dynamic behavior of the fractal genetic system. Cell differentiation is identified as a phase transition in the fractal architecture, connecting directly to the fractal emergence model of cancer: malignant transformation may be an aberrant differentiation event produced by degraded fractal architectural integrity. The paper introduces the genomic coherence hypothesis — that cancer is caused not by coding mutations per se, but by the loss of fractal architectural integrity that renders the system unable to absorb destabilizing perturbations — and proposes five specific, testable, falsifiable predictions for experimental validation. Keywords: genome, fractal geometry, non-coding DNA, junk DNA, epigenetics, chromatin organization, genomic architecture, cell differentiation, phase transition, cancer, genomic coherence, epigenetic inheritance, complexity mathematics, systems biology
Lucian Randolph (Sun,) studied this question.