DNA-based Infrastructure for Storage and Computation
The DISCO project aims to engineer a robust DNA-based storage and computing platform, starting with a 10-bit prototype and scaling to hundreds of bits using advanced molecular techniques.
Projectdetails
Introduction
Throughout evolution, Biology has found an almost-perfect molecule to pass information down through the millennia. Whether for a simple bacterium or the largest whale, DNA achieves high information density while permitting cellular machinery rapid random-access retrieval to decode everything from a single protein to the development of an entire human brain.
Humanity's rapidly growing data storage and computing needs make it tempting to exploit optimised biological molecules and processes, but biology is messy, poorly understood, and much more specialised for life than it is for our needs. We propose to use DNA for storage together with a rationally designed, well-characterised, and robust molecular computing architecture.
Project Overview
The DISCO project will address the challenge of engineering a programmable and robust DNA storage and computing platform. DISCO combines powerful molecular-algorithmic ideas from DNA computing with notions of thermodynamic stability from DNA nanostructures to provide an expressive and robust system design.
Methodology
- DNA Scaffold Strands: The project proposes the use of long DNA scaffold strands, upon which hundreds of smaller strands bind to store data.
- Data Operations: These strands can be later read, erased, rewritten, and computed upon.
- Prototype Development: DISCO begins with the aim of trialing a small, but thoroughly characterised and modelled prototype that facilitates storage and computation on 10 bits.
Scaling Up
Then, DISCO will scale up the system to hundreds of bits by leveraging recent technological advances to enable high-throughput techniques at both the experimental and data-readout stages.
Future Directions
Finally, DISCO will be extended to two-dimensional DNA origami structures, each carrying about a hundred bits, but with millions of structures in the same test tube. This will exhibit DNA storage and computation in a distributed system at a massively parallel scale.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 3.993.665 |
Totale projectbegroting | € 3.993.665 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- NATIONAL UNIVERSITY OF IRELAND MAYNOOTHpenvoerder
- TILIBIT NANOSYSTEMS GMBH
- PRGM DEV
Land(en)
Vergelijkbare projecten binnen EIC Pathfinder
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
MIcrobe-synthesised DNA NAnostructures for DIsplay-controlled Storage CartridgesDevelop a low-cost, energy-efficient data drive using bacterial cells to efficiently write, edit, store, and retrieve DNA-based data for long-term storage. | EIC Pathfinder | € 3.999.506 | 2023 | Details |
Interoperable end-to-end platform of scalable and sustainable high-throughput technologies for DNA-based digital data storagePEARL-DNA aims to develop a high-throughput, modular DNA-based data storage platform to enhance longevity, efficiency, and integration in sustainable data management solutions. | EIC Pathfinder | € 3.999.857 | 2023 | Details |
Next Generation Molecular Data StorageThis project aims to develop a cost-effective and efficient DNA nanostructure-based data storage system, enhancing longevity and reducing electronic waste compared to traditional media. | EIC Pathfinder | € 2.418.514 | 2023 | Details |
Computational, Chemical and Biotechnology Solutions to Improved DNA Data Storage: from In-Product Information and Cryptography to Long-Term ArchivingDiDAX aims to reduce the cost of DNA-based information storage through innovative encoding, synthesis, and embedding technologies, enhancing its long-term applicability and practical use in various applications. | EIC Pathfinder | € 3.973.783 | 2023 | Details |
DNA Microfactory for Autonomous ArchivingDNAMIC aims to develop an autonomous, low-energy DNA microfactory for end-to-end data archiving, ensuring long-term storage compliance and disaster recovery through innovative encoding schemes. | EIC Pathfinder | € 2.437.522 | 2023 | Details |
MIcrobe-synthesised DNA NAnostructures for DIsplay-controlled Storage Cartridges
Develop a low-cost, energy-efficient data drive using bacterial cells to efficiently write, edit, store, and retrieve DNA-based data for long-term storage.
Interoperable end-to-end platform of scalable and sustainable high-throughput technologies for DNA-based digital data storage
PEARL-DNA aims to develop a high-throughput, modular DNA-based data storage platform to enhance longevity, efficiency, and integration in sustainable data management solutions.
Next Generation Molecular Data Storage
This project aims to develop a cost-effective and efficient DNA nanostructure-based data storage system, enhancing longevity and reducing electronic waste compared to traditional media.
Computational, Chemical and Biotechnology Solutions to Improved DNA Data Storage: from In-Product Information and Cryptography to Long-Term Archiving
DiDAX aims to reduce the cost of DNA-based information storage through innovative encoding, synthesis, and embedding technologies, enhancing its long-term applicability and practical use in various applications.
DNA Microfactory for Autonomous Archiving
DNAMIC aims to develop an autonomous, low-energy DNA microfactory for end-to-end data archiving, ensuring long-term storage compliance and disaster recovery through innovative encoding schemes.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
DNA Encryption of Compartmentalized DNA FilesDNACryp aims to develop a molecular-level encryption method for DNA data storage, enhancing security and efficiency to meet future digital storage demands. | ERC Proof of... | € 150.000 | 2025 | Details |
Coding for DNA StorageThis project aims to develop advanced coding methods for DNA-based storage systems to enhance data integrity and recovery, potentially revolutionizing archiving technology and impacting related scientific fields. | ERC Consolid... | € 1.999.096 | 2022 | Details |
Molecular Storage System (MoSS): Intelligent DNA Data StorageThe MoSS project aims to develop a cost-effective DNA data storage system using novel enzymatic synthesis techniques to enable scalable, high-throughput writing of DNA. | EIC Transition | € 2.594.615 | 2022 | Details |
DNA-encoded REconfigurable and Active MatterThe project aims to develop DNA-encoded dynamic principles to create adaptive synthetic materials with life-like characteristics and multifunctional capabilities through innovative self-assembly and genetic programming. | ERC Advanced... | € 2.496.750 | 2023 | Details |
The sequencing microscope - a path to look at the molecules of biologyThis project aims to develop a novel technique that uses sequencing data to infer spatial information in tissues, enhancing our understanding of biological systems without advanced microscopy. | ERC Advanced... | € 2.500.000 | 2024 | Details |
DNA Encryption of Compartmentalized DNA Files
DNACryp aims to develop a molecular-level encryption method for DNA data storage, enhancing security and efficiency to meet future digital storage demands.
Coding for DNA Storage
This project aims to develop advanced coding methods for DNA-based storage systems to enhance data integrity and recovery, potentially revolutionizing archiving technology and impacting related scientific fields.
Molecular Storage System (MoSS): Intelligent DNA Data Storage
The MoSS project aims to develop a cost-effective DNA data storage system using novel enzymatic synthesis techniques to enable scalable, high-throughput writing of DNA.
DNA-encoded REconfigurable and Active Matter
The project aims to develop DNA-encoded dynamic principles to create adaptive synthetic materials with life-like characteristics and multifunctional capabilities through innovative self-assembly and genetic programming.
The sequencing microscope - a path to look at the molecules of biology
This project aims to develop a novel technique that uses sequencing data to infer spatial information in tissues, enhancing our understanding of biological systems without advanced microscopy.