In DiDAX, we will develop new approaches to DNA data storage based on novel encoding and decoding algorithms, new reduced cost synthesis approaches and new embedding technologies.
We will provide (i) synthesis, encoding and decoding methods for efficient reduced cost archiving using standard and composite DNA, (ii) in-product information storage technologies, including encapsulation and embedding, as well as tailored coding and reconstruction approaches, (iii) methods for efficient labeling and cryptographic authentication, and (iv) efficient and new approaches to hotolithography-based synthesis and composite synthesis of DNA, to enable reduced-cost DNA storage.
DiDAX team comprises scientists from diverse backgrounds and spans all stages of scientific career development, from students to early career PIs to experienced group leaders. This combination will foster creative thinking and exploration. By enabling this collaborative effort we anticipate that many new ideas will evolve, leading to more emergent applications of DNA as an information medium, possibly beyond these which are explicitly covered in the proposal. Cross discussions, between computer science, material science, biotechnology, chemistry and related sub-domains will also facilitate learning and knowledge transfer for the team members.
