A Constraint-Based Methodology for Musical Sonification of Genetic Sequences: A Dinucleotide Mapping Framework

Abstract - This document presents an original, rule-guided methodology for translating genetic sequence information into constrained musical structures through biologically informed reduction and symbolic mapping. Unlike arbitrary or purely aesthetic DNA-to-sound mappings, the proposed framework employs biologically motivated sequence reduction, symbolic abstraction using dinucleotide units, and constraint-based musical mapping. The method emphasizes information density, avoidance of genomic redundancy, and preservation of an explicit human interpretive layer. The resulting musical output is not intended as a literal transcription, but as a constrained, interpretable musical representation grounded in genomic structure. This methodology is designed for artistic, exploratory, and conceptual use, rather than diagnostic or clinical interpretation.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-29
DOI
https://doi.org/10.5281/zenodo.18417875
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
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article

A Constraint-Based Methodology for Musical Sonification of Genetic Sequences: A Dinucleotide Mapping Framework

Zubin Sagar Kanukolanu
Zenodo (CERN European Organization for Nuclear Research)
Music Technology and Sound Studies
article

A Constraint-Based Methodology for Musical Sonification of Genetic Sequences: A Dinucleotide Mapping Framework

Zubin Sagar Kanukolanu
article en

Abstract

Abstract - This document presents an original, rule-guided methodology for translating genetic sequence information into constrained musical structures through biologically informed reduction and symbolic mapping. Unlike arbitrary or purely aesthetic DNA-to-sound mappings, the proposed framework employs biologically motivated sequence reduction, symbolic abstraction using dinucleotide units, and constraint-based musical mapping. The method emphasizes information density, avoidance of genomic redundancy, and preservation of an explicit human interpretive layer. The resulting musical output is not intended as a literal transcription, but as a constrained, interpretable musical representation grounded in genomic structure. This methodology is designed for artistic, exploratory, and conceptual use, rather than diagnostic or clinical interpretation.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 75%
Music Technology and Sound Studies
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