DNA-Based Data Storage
DNA Data Storage R&D Pipeline
A research pipeline for encoding digital information into synthetic DNA. It includes sequence constraints, noise simulation, and error correction to ensure robust decoding under realistic degradation.
Key Features
- Bit-to-nucleotide encoding with GC and homopolymer constraints.
- Noise simulation (mutations, indels, sequencing errors).
- Reed-Solomon error correction for recovery.
Technologies Used
- Python, NumPy, error-correcting codes
Project information
- Category Research
- Status Prototype
- Project URL Available on request