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Improving Reproducibility in Synthetic Biology

Synthetic biology holds great promise to deliver transformative technologies to the world in the coming years. However, several challenges still remain to be addressed before it can deliver on its promises. One of the most important issues to address is the lack of reproducibility within research of...

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Detalles Bibliográficos
Autores principales: Jessop-Fabre, Mathew M, Sonnenschein, Nikolaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378554/
https://www.ncbi.nlm.nih.gov/pubmed/30805337
http://dx.doi.org/10.3389/fbioe.2019.00018
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author Jessop-Fabre, Mathew M
Sonnenschein, Nikolaus
author_facet Jessop-Fabre, Mathew M
Sonnenschein, Nikolaus
author_sort Jessop-Fabre, Mathew M
collection PubMed
description Synthetic biology holds great promise to deliver transformative technologies to the world in the coming years. However, several challenges still remain to be addressed before it can deliver on its promises. One of the most important issues to address is the lack of reproducibility within research of the life sciences. This problem is beginning to be recognised by the community and solutions are being developed to tackle the problem. The recent emergence of automated facilities that are open for use by researchers (such as biofoundries and cloud labs) may be one of the ways that synthetic biologists can improve the quality and reproducibility of their work. In this perspective article, we outline these and some of the other technologies that are currently being developed which we believe may help to transform how synthetic biologists approach their research activities.
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spelling pubmed-63785542019-02-25 Improving Reproducibility in Synthetic Biology Jessop-Fabre, Mathew M Sonnenschein, Nikolaus Front Bioeng Biotechnol Bioengineering and Biotechnology Synthetic biology holds great promise to deliver transformative technologies to the world in the coming years. However, several challenges still remain to be addressed before it can deliver on its promises. One of the most important issues to address is the lack of reproducibility within research of the life sciences. This problem is beginning to be recognised by the community and solutions are being developed to tackle the problem. The recent emergence of automated facilities that are open for use by researchers (such as biofoundries and cloud labs) may be one of the ways that synthetic biologists can improve the quality and reproducibility of their work. In this perspective article, we outline these and some of the other technologies that are currently being developed which we believe may help to transform how synthetic biologists approach their research activities. Frontiers Media S.A. 2019-02-11 /pmc/articles/PMC6378554/ /pubmed/30805337 http://dx.doi.org/10.3389/fbioe.2019.00018 Text en Copyright © 2019 Jessop-Fabre and Sonnenschein. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Jessop-Fabre, Mathew M
Sonnenschein, Nikolaus
Improving Reproducibility in Synthetic Biology
title Improving Reproducibility in Synthetic Biology
title_full Improving Reproducibility in Synthetic Biology
title_fullStr Improving Reproducibility in Synthetic Biology
title_full_unstemmed Improving Reproducibility in Synthetic Biology
title_short Improving Reproducibility in Synthetic Biology
title_sort improving reproducibility in synthetic biology
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378554/
https://www.ncbi.nlm.nih.gov/pubmed/30805337
http://dx.doi.org/10.3389/fbioe.2019.00018
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