Dagstuhl Seminar 24511
Coding Theory and Algorithms for Emerging Technologies in Synthetic Biology
( Dec 15 – Dec 20, 2024 )
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Organizers
- R. B. (TU München, DE)
- Olgica Milenkovic (University of Illinois - Urbana Champaign, US)
- Zohar Yakhini (Reichman University - Herzliya, IL)
- Yonatan Yehezkeally (TU München, DE)
Contact
- Michael Gerke (for scientific matters)
- Susanne Bach-Bernhard (for administrative matters)
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The progress in understanding genes and genomes has given a boost to the use of synthetic DNA for biological and technological applications. Synthetic nucleic acids play a central role in synthetic biology and in emerging therapeutic paradigms, e.g., genome editing and nucleic acid vaccines. DNA-based data storage is making significant progress, and thanks to its extreme data-density, its high durability and its timelessness, it is promising to be the next standard for data archival systems.
Synthetic biology and the use of synthetic DNA for information storage applications bring important algorithmic and data analysis challenges. In synthetic biology, reagent and assay design are often driven by algorithmic approaches. Novel synthesis technologies offer cost-reduction by several orders of magnitude at the cost of increased error-rate, raising new coding-theoretic questions.
This Dagstuhl Seminar aims to bring together leading biologists, chemists, engineers, computer/data scientists, and theoreticians working on synthetic biology and on DNA-based data storage, to enable joint work in small groups leading to discussing and exploring recent advancements and current challenges. The seminar will also facilitate the initiation of collaborative work and thus possibly pave the way to addressing open challenges.
The topics envisaged to be discussed include: (i) coding-theoretic challenges and methods for native DNA-based data storage systems; (ii) implications of emerging sequencing technologies, novel synthesis methods, and application-specific data structures; and (iii) information aspects of high throughput synthetic biology, including CRISPR screening experiments.
Creative Commons BY 4.0
R. B., Olgica Milenkovic, Zohar Yakhini, and Yonatan Yehezkeally
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- Roee Amit
- Iryna Andriyanova
- R. B.
- Anisha Banerjee
- Daniella Bar-Lev
- Jessica Bariffi
- Salim El Rouayheb
- Ohad Elishco
- Nick Goldman
- Alexandre Graell i Amat
- Francesca Granito
- Robert Grass
- Jasper Groen
- Anina Gruica
- Serge Kas Hanna
- Cai Kui
- Olgica Milenkovic
- Lior Nissim
- Tzachi Pilpel
- Nimesh Pinnamaneni
- Inbal Preuss
- Roni Rak
- João Ribeiro
- Eirik Rosnes
- Omer Sabary
- Benno Schwikowski
- Ilan Shomorony
- Roman Sokolovskii
- Mark Somoza
- Kasra Tabatabaei
- Jennifer Tang
- Emanuele Viterbo
- Van Khu Vu
- Frederik Walter
- Zhiying Wang
- Eitan Yaakobi
- Zohar Yakhini
- Yonatan Yehezkeally
Classification
- Emerging Technologies
- Information Theory
Keywords
- Synthetic biology
- DNA-based data storage
- Edit error-correcting codes
