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SynBiopython: an open-source software library for Synthetic Biology
Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063678/ http://dx.doi.org/10.1093/synbio/ysab001 |
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author | Yeoh, Jing Wui Swainston, Neil Vegh, Peter Zulkower, Valentin Carbonell, Pablo Holowko, Maciej B Peddinti, Gopal Poh, Chueh Loo |
author_facet | Yeoh, Jing Wui Swainston, Neil Vegh, Peter Zulkower, Valentin Carbonell, Pablo Holowko, Maciej B Peddinti, Gopal Poh, Chueh Loo |
author_sort | Yeoh, Jing Wui |
collection | PubMed |
description | Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: http://synbiopython.org. |
format | Online Article Text |
id | pubmed-8063678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80636782021-04-29 SynBiopython: an open-source software library for Synthetic Biology Yeoh, Jing Wui Swainston, Neil Vegh, Peter Zulkower, Valentin Carbonell, Pablo Holowko, Maciej B Peddinti, Gopal Poh, Chueh Loo Synth Biol (Oxf) Software Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: http://synbiopython.org. Oxford University Press 2021-02-22 /pmc/articles/PMC8063678/ http://dx.doi.org/10.1093/synbio/ysab001 Text en © The Author(s) 2021. Published by Oxford University Press. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Yeoh, Jing Wui Swainston, Neil Vegh, Peter Zulkower, Valentin Carbonell, Pablo Holowko, Maciej B Peddinti, Gopal Poh, Chueh Loo SynBiopython: an open-source software library for Synthetic Biology |
title | SynBiopython: an open-source software library for Synthetic Biology |
title_full | SynBiopython: an open-source software library for Synthetic Biology |
title_fullStr | SynBiopython: an open-source software library for Synthetic Biology |
title_full_unstemmed | SynBiopython: an open-source software library for Synthetic Biology |
title_short | SynBiopython: an open-source software library for Synthetic Biology |
title_sort | synbiopython: an open-source software library for synthetic biology |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8063678/ http://dx.doi.org/10.1093/synbio/ysab001 |
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