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DNAsmart: Multiple attribute ranking tool for DNA data storage systems.

Chisom Ezekannagha1,2, Marius Welzel1,2, Dominik Heider1,2

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This study introduces DNAsmart, a visual framework for ranking DNA data storage encoding methods. It helps users easily compare and select optimal DNA data storage solutions.

Keywords:
AttributeDNAData storageMediumRankingVisual analytic

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Area of Science:

  • Biotechnology
  • Computer Science
  • Information Science

Background:

  • The increasing demand for data storage necessitates novel solutions beyond conventional media.
  • Deoxyribonucleic Acid (DNA) offers superior capacity, density, and longevity for data storage.
  • Evaluating DNA data storage encoding methods requires expertise in coding theory and complex attribute analysis.

Purpose of the Study:

  • To develop an interactive and visual analytical framework for multi-attribute ranking in DNA storage systems.
  • To simplify the evaluation and comparison of different DNA data encoding and decoding approaches.
  • To enable users to identify optimal en-/de-coding strategies by adjusting parameters and attribute weights.

Main Methods:

  • The framework employs a three-step interactive view with user-configurable parameters.
  • It facilitates multi-attribute ranking by allowing users to set weights and combine various evaluation criteria.
  • User study with domain experts assessed task completion time, framework usability, and perceived usefulness.

Main Results:

  • Domain experts successfully completed evaluation tasks within two minutes using the framework.
  • The framework was rated positively for its design, usefulness, and intuitiveness.
  • Two real-world use cases demonstrated the practical application of the tool for analyzing DNA storage systems.

Conclusions:

  • DNAsmart provides an accessible and tractable method for evaluating and ranking DNA data storage en-/de-coding approaches.
  • The visualization and interactivity enhance the comparison and selection of optimal DNA storage solutions.
  • The framework empowers users to navigate complex coding theory for efficient DNA data storage.