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Dagstuhl Seminar 24511

Coding Theory and Algorithms for Emerging Technologies in Synthetic Biology

( Dec 15 – Dec 20, 2024 )

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Please use the following short url to reference this page: https://www.dagstuhl.de/24511

Organizers

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Schedule

Motivation

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.

Copyright R. B., Olgica Milenkovic, Zohar Yakhini, and Yonatan Yehezkeally

Participants

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  • Roee Amit (Technion - Haifa, IL) [dblp]
  • Iryna Andriyanova (CY Cergy Paris University, FR) [dblp]
  • R. B. (TU München, DE) [dblp]
  • Anisha Banerjee (TU München, DE) [dblp]
  • Daniella Bar-Lev (Technion - Haifa, IL) [dblp]
  • Jessica Bariffi (TU München, DE)
  • Salim El Rouayheb (Rutgers University - Piscataway, US) [dblp]
  • Ohad Elishco (Ben Gurion University - Beer Sheva, IL) [dblp]
  • Nick Goldman (European Molecular Biology Laboratory - Hinxton, GB) [dblp]
  • Alexandre Graell i Amat (Chalmers University of Technology - Göteborg, SE) [dblp]
  • Francesca Granito (ETH Zürich, CH)
  • Robert Grass (ETH Zürich, CH)
  • Jasper Groen (TU Delft, NL)
  • Anina Gruica (Technical University of Denmark - Lyngby, DK)
  • Serge Kas Hanna (Université Côte d’Azur - Sophia Antipolis, FR) [dblp]
  • Cai Kui (Singapore University of Technology and Design, SG) [dblp]
  • Olgica Milenkovic (University of Illinois - Urbana Champaign, US) [dblp]
  • Lior Nissim (The Hebrew University of Jerusalem, IL)
  • Tzachi Pilpel (Weizmann Institute of Science - Rehovot, IL)
  • Nimesh Pinnamaneni (Helixworks Technologies Ltd. - Cork, IE)
  • Inbal Preuss (Technion - Haifa, IL) [dblp]
  • Roni Rak (Agriculture Research Organization, IL)
  • João Ribeiro (IST - Lisbon, PT)
  • Eirik Rosnes (Simula Research Laboratory - Oslo, NO) [dblp]
  • Omer Sabary (Technion - Haifa, IL) [dblp]
  • Benno Schwikowski (Inst. Pasteur et LIX (Paris) & MPI (Berlin), FR) [dblp]
  • Ilan Shomorony (University of Illinois - Urbana Champaign, US) [dblp]
  • Roman Sokolovskii (Imperial College London, GB)
  • Mark Somoza (Leibniz-Institut für Lebensmittel-Systembiologie, DE)
  • Kasra Tabatabaei (New England Biolabs - Ipswich, US)
  • Jennifer Tang (MIT - Cambridge, US)
  • Emanuele Viterbo (Monash University - Clayton, AU) [dblp]
  • Van Khu Vu (National University of Singapore, SG) [dblp]
  • Frederik Walter (TU München, DE)
  • Zhiying Wang (University of California - Irvine, US) [dblp]
  • Eitan Yaakobi (Technion - Haifa, IL) [dblp]
  • Zohar Yakhini (Reichman University - Herzliya, IL) [dblp]
  • Yonatan Yehezkeally (TU München, DE) [dblp]

Classification
  • Emerging Technologies
  • Information Theory

Keywords
  • Synthetic biology
  • DNA-based data storage
  • Edit error-correcting codes