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

Synthetic biology aims to introduce engineering principles into biology, for example, the construction of biological devices by assembling previously-characterized, functional parts. This approach demands new resources for cataloging and sharing biological components and designs, in order to acceler...

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Detalles Bibliográficos
Autores principales: Urquiza-García, Uriel, Zieliński, Tomasz, Millar, Andrew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690502/
https://www.ncbi.nlm.nih.gov/pubmed/31423466
http://dx.doi.org/10.1093/synbio/ysz016
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author Urquiza-García, Uriel
Zieliński, Tomasz
Millar, Andrew J
author_facet Urquiza-García, Uriel
Zieliński, Tomasz
Millar, Andrew J
author_sort Urquiza-García, Uriel
collection PubMed
description Synthetic biology aims to introduce engineering principles into biology, for example, the construction of biological devices by assembling previously-characterized, functional parts. This approach demands new resources for cataloging 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: Joint Bioenergy Institute-Inventory of Composable Elements (JBEI-ICE) and SynBioHub. We analyzed 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: (i) supporting the synthetic biology design-build-test-learn cycle, (ii) batch deposit of existing designs into the repository and (iii) discovery and reuse 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.
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spelling pubmed-66905022019-08-16 Better research by efficient sharing: evaluation of free management platforms for synthetic biology designs Urquiza-García, Uriel Zieliński, Tomasz Millar, Andrew J Synth Biol (Oxf) Research Article Synthetic biology aims to introduce engineering principles into biology, for example, the construction of biological devices by assembling previously-characterized, functional parts. This approach demands new resources for cataloging 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: Joint Bioenergy Institute-Inventory of Composable Elements (JBEI-ICE) and SynBioHub. We analyzed 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: (i) supporting the synthetic biology design-build-test-learn cycle, (ii) batch deposit of existing designs into the repository and (iii) discovery and reuse 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. Oxford University Press 2019-06-20 /pmc/articles/PMC6690502/ /pubmed/31423466 http://dx.doi.org/10.1093/synbio/ysz016 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Urquiza-García, Uriel
Zieliński, Tomasz
Millar, Andrew J
Better research by efficient sharing: evaluation of free management platforms for synthetic biology designs
title Better research by efficient sharing: evaluation of free management platforms for synthetic biology designs
title_full Better research by efficient sharing: evaluation of free management platforms for synthetic biology designs
title_fullStr Better research by efficient sharing: evaluation of free management platforms for synthetic biology designs
title_full_unstemmed Better research by efficient sharing: evaluation of free management platforms for synthetic biology designs
title_short Better research by efficient sharing: evaluation of free management platforms for synthetic biology designs
title_sort better research by efficient sharing: evaluation of free management platforms for synthetic biology designs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690502/
https://www.ncbi.nlm.nih.gov/pubmed/31423466
http://dx.doi.org/10.1093/synbio/ysz016
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