Better research by efficient sharing: Evaluation of free management platforms for synthetic biology designs

Uriel Urquiza-garcía, Tomasz Zieliński, Andrew J Millar

Research output: Contribution to journalArticlepeer-review


Synthetic biology aims to introduce engineering principles into biology, for example the construction of biological devices by assembling previously-characterised, functional parts. This approach demands new resources for cataloguing and sharing biological components and designs, in order to accelerate the design-build-test-learn cycle. We evaluated two free, open source software platforms for managing synthetic biology data: JBEI-ICE and SynBioHub. We analysed the systems from the perspective of experimental biology research groups in academia, which seek to incorporate the repositories into their synthetic biology workflow. Here, we define the minimal requirements for a repository in this context and develop three usage scenarios, where we then examine the two platforms: 1) supporting the synthetic biology design-build-test-learn cycle, 2) batch deposit of existing designs into the repository, 3) discovery and re-use of designs from the repository. Our evaluation of JBEI-ICE and SynBioHub provides an insight into the current state of synthetic biology resources, might encourage their wider adoption and should guide future development to better meet the needs of this user group.
Original languageEnglish
Article numberysz016
JournalSynthetic Biology
Issue number1
Early online date20 Jun 2019
Publication statusE-pub ahead of print - 20 Jun 2019


  • synthetic biology
  • data management
  • data sharing
  • SBOL
  • HBEI


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