Single Read Reconstruction for DNA Data Storage Using Transformers (official implementation)
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Updated
Dec 19, 2023 - Python
Single Read Reconstruction for DNA Data Storage Using Transformers (official implementation)
Python implementation of MGC+ channel coding for binary and DNA data storage, including encoding, decoding, simulations, and a DNA file storage codec.
Formal framework for DNA-based data storage, focusing on reliability engineering, error-bound modeling, and metabolic tradeoff analysis. Repository intended for posting the simulation results of the original project's source code.
DNA Fountain Algorithm
Associated repository for the "Is DNA the KEY to Solving the Data Storage Crisis?" 15 minute discourse podcast on YouTube!
Official implementation of the N-Codon Protocol. A biomimetic digital storage architecture for AI models using DNA-inspired fractal compression and epigenetic weight modulation (.bioAI).
Multi-vendor physically-grounded synthetic DNA dataset generator for DNA data storage research. 7 synthesis profiles (Twist, IDT, DNA Script, Ansa, ETH Zurich, Evonetix), 3 sequencing backends (Illumina, Nanopore, PacBio), 3-layer error injection pipeline with empirical calibration.
A Python tool for encoding files into DNA sequences and decoding them back.
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