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DNAByte - A Modular Framework for the Simulation and Analysis of DNA Based Data Storage

SNIAVideo via YouTube

Overview

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Explore a comprehensive conference presentation introducing DNAByte, a modular simulation and analysis framework designed for DNA-based data storage systems. Learn about this web-based application that covers the entire DNA data storage process, from encoding algorithms through DNA synthesis, storage, and sequencing to error correction and decoding. Discover how DNAByte's modular architecture enables users to run simulations with any combination of encoding, decoding, and error correction strategies, while supporting multiple module categories including inner error correction (Reed-Solomon), outer error correction (LT codes), encoding/decoding algorithms, and error channels for sequencing errors and storage conditions. Understand the framework's capability to handle large-scale data storage through multiple split DNA strands and ligation simulation, providing detailed analytics on encoding performance, error correction efficiency, and storage conditions. Gain insights into how this accessible platform accelerates DNA data storage development by reducing the need for costly experiments through in-silico simulation of end-to-end processes, presented by Fabian Shroeder from Eko Refugium at the 2025 Storage and Computing with DNA Conference.

Syllabus

DNAByte A modular framework for the simulation and analysis of DNA based data storage

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SNIAVideo

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