Constraint-Based Visual Encoding as a Complement to Genetic Sonification Protocols: A Hue-Class Dinucleotide Mapping Framework

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Authors: Zubin Sagar Kanukolanu
Cited by: 0

Abstract

Abstract - This document presents an original, constraint-based methodology for visually encoding genetic motif structure through a reproducible dinucleotide-driven mapping framework. Designed as a complementary modality to a previously disclosed constraint-based genetic sonification protocol (Sagar, 2026), the present system translates reduced dinucleotide sequences into standardized hue-class motif plates. Dinucleotide composition governs hue selection and motif-local saturation dominance, while single nucleotide composition modulates four orthogonal perceptual axes: brightness (A), spatial distribution (T), curvature (G), and texture density (C). The resulting outputs are non-representational scientific visualization artefacts intended for exploratory, artistic and conceptual use rather than diagnostic or clinical interpretation.

Fields of Study & Subjects

Fractal and DNA sequence analysis Music Technology and Sound Studies Data Visualization and Analytics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Language
EN