AI / ML · Research

DNA-Based Data Storage

A research pipeline to encode digital data into DNA sequences under biochemical constraints with robust decoding strategies.

Context

Long-term archival research

Date

2024

Role

Research developer

Context

DNA storage research requires balancing coding density with sequence constraints and decoding reliability.

Approach

  • Bit-to-nucleotide encoding under GC/homopolymer constraints
  • Error simulation with mutation and indel scenarios
  • Error-correction strategies for robust recovery

Solution

The workflow formalizes encoding and recovery experiments in a reproducible setup for comparative R&D iterations.

Key outcome

A reproducible framework to evaluate DNA storage trade-offs between density and robustness.