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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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. |
format | Online Article Text |
id | pubmed-6690502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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