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Organizing genome engineering for the gigabase scale

Genome-scale engineering holds great potential to impact science, industry, medicine, and society, and recent improvements in DNA synthesis have enabled the manipulation of megabase genomes. However, coordinating and integrating the workflows and large teams necessary for gigabase genome engineering...

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Detalles Bibliográficos
Autores principales: Bartley, Bryan A., Beal, Jacob, Karr, Jonathan R., Strychalski, Elizabeth A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000699/
https://www.ncbi.nlm.nih.gov/pubmed/32019919
http://dx.doi.org/10.1038/s41467-020-14314-z
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author Bartley, Bryan A.
Beal, Jacob
Karr, Jonathan R.
Strychalski, Elizabeth A.
author_facet Bartley, Bryan A.
Beal, Jacob
Karr, Jonathan R.
Strychalski, Elizabeth A.
author_sort Bartley, Bryan A.
collection PubMed
description Genome-scale engineering holds great potential to impact science, industry, medicine, and society, and recent improvements in DNA synthesis have enabled the manipulation of megabase genomes. However, coordinating and integrating the workflows and large teams necessary for gigabase genome engineering remains a considerable challenge. We examine this issue and recommend a path forward by: 1) adopting and extending existing representations for designs, assembly plans, samples, data, and workflows; 2) developing new technologies for data curation and quality control; 3) conducting fundamental research on genome-scale modeling and design; and 4) developing new legal and contractual infrastructure to facilitate collaboration.
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spelling pubmed-70006992020-02-06 Organizing genome engineering for the gigabase scale Bartley, Bryan A. Beal, Jacob Karr, Jonathan R. Strychalski, Elizabeth A. Nat Commun Perspective Genome-scale engineering holds great potential to impact science, industry, medicine, and society, and recent improvements in DNA synthesis have enabled the manipulation of megabase genomes. However, coordinating and integrating the workflows and large teams necessary for gigabase genome engineering remains a considerable challenge. We examine this issue and recommend a path forward by: 1) adopting and extending existing representations for designs, assembly plans, samples, data, and workflows; 2) developing new technologies for data curation and quality control; 3) conducting fundamental research on genome-scale modeling and design; and 4) developing new legal and contractual infrastructure to facilitate collaboration. Nature Publishing Group UK 2020-02-04 /pmc/articles/PMC7000699/ /pubmed/32019919 http://dx.doi.org/10.1038/s41467-020-14314-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Perspective
Bartley, Bryan A.
Beal, Jacob
Karr, Jonathan R.
Strychalski, Elizabeth A.
Organizing genome engineering for the gigabase scale
title Organizing genome engineering for the gigabase scale
title_full Organizing genome engineering for the gigabase scale
title_fullStr Organizing genome engineering for the gigabase scale
title_full_unstemmed Organizing genome engineering for the gigabase scale
title_short Organizing genome engineering for the gigabase scale
title_sort organizing genome engineering for the gigabase scale
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000699/
https://www.ncbi.nlm.nih.gov/pubmed/32019919
http://dx.doi.org/10.1038/s41467-020-14314-z
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