Algorithms for DNA Data Storage

Explore the cutting-edge field of DNA data storage in this conference talk from Strange Loop. Discover the algorithms being developed to efficiently read and write data to DNA, learn about innovations reducing costs and increasing speed of DNA production, and understand the potential of DNA to address growing data storage needs. Delve into topics such as resilience, interoperability, data corruption, and molecular structure. Trace the evolution of DNA data storage from the first genome sequencing in 1977 to recent advancements like random access, the "DNA Fountain" technique, and the "library approach." Examine novel applications including recording biological interactions, Bitcoin cold storage, DNA cryptography, and the potential of six-base-pair DNA synthesis. Gain insights into the future of data storage and the revolutionary impact of DNA-based technologies.

Algorithms for DNA Data Storage
Resilience
Interoperability
Data corruption
Molecular structure
1977: First DNA Genome Sequenced
2001: Naive Encoding Translating each letter of the alphabet to a combination of DNA base pairs
2015: Random access Allowing researchers to selectively find data in DNA without having to sequence the entire genome
2017: "DNA Fountain" enhances information density Introducing "fountain codes" allows researchers to achieve 85% of DNA's Shannon Capacity
2017: Using DNA to record and store biological interactions Introducing new applications for DNA data storage
2018: "Library approach" reduces costs of writing data to DNA Utilizing prefabricated strands of DNA rather than synthesizing DNA base pair by base pair
Bitcoin cold storage in DNA
DNA cryptography
Synthesizing DNA with 6 base pairs instead of 4
DNA computers