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Linking Engineered Cells to Their Digital Twins: a Version Control System for Strain Engineering

Jonathan Tellechea-Luzardo, View ORCID ProfilePaweł Widera, View ORCID ProfileVictor de Lorenzo, View ORCID ProfileNatalio Krasnogor
doi: https://doi.org/10.1101/786111
Jonathan Tellechea-Luzardo
Interdisciplinary Computing and Complex BioSystems (ICOS) research group, Newcastle University, Newcastle Upon Tyne, UK
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Paweł Widera
Interdisciplinary Computing and Complex BioSystems (ICOS) research group, Newcastle University, Newcastle Upon Tyne, UK
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Victor de Lorenzo
Systems Biology Program, Centro Nacional de Biotecnología (CNB-CSIC), 28049 Madrid, Spain
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Natalio Krasnogor
Interdisciplinary Computing and Complex BioSystems (ICOS) research group, Newcastle University, Newcastle Upon Tyne, UK
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  • ORCID record for Natalio Krasnogor
  • For correspondence: natalio.krasnogor@newcastle.ac.uk
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1. Abstract

As DNA sequencing and synthesis become cheaper and more easily accessible, the scale and complexity of biological engineering projects is set to grow. Yet, although there is an accelerating convergence between biotechnology and computing science, a deficit in software and laboratory techniques diminishes the ability to make biotechnology more agile, reproducible and transparent while, at the same time, limiting the security and safety of synthetic biology constructs. To partially address some of these problems, this paper presents an approach for physically linking engineered cells to their digital footprint - we called it digital twinning. This enables the tracking of the entire engineering history of a cell line in a specialised version control system for collaborative strain engineering.

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  • https://cellrepo.ico2s.org

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted September 30, 2019.
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Linking Engineered Cells to Their Digital Twins: a Version Control System for Strain Engineering
Jonathan Tellechea-Luzardo, Paweł Widera, Victor de Lorenzo, Natalio Krasnogor
bioRxiv 786111; doi: https://doi.org/10.1101/786111
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Linking Engineered Cells to Their Digital Twins: a Version Control System for Strain Engineering
Jonathan Tellechea-Luzardo, Paweł Widera, Victor de Lorenzo, Natalio Krasnogor
bioRxiv 786111; doi: https://doi.org/10.1101/786111

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