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pro vyhledávání: '"Oliver Chalkley"'
Autor:
Joshua Rees-Garbutt, Oliver Chalkley, Sophie Landon, Oliver Purcell, Lucia Marucci, Claire Grierson
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Genome engineering will one day benefit from computational tools that can design genomes with desired functions. Here the authors develop computational design-simulate-test algorithms to design minimal genomes based on the whole-cell model of Mycopla
Externí odkaz:
https://doaj.org/article/a2d27e6f513347d0a606d457b9efaf7f
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Whole-cell modelling is a newly expanding field that has many applications in lab experiment design and predictive drug testing. Although whole-cell model output contains a wealth of information, it is complex and high dimensional and thus hard to in
Externí odkaz:
https://doaj.org/article/73673cc520824d97a6530c78b851232a
Autor:
Joshua Rees-Garbutt, Oliver Chalkley, Sophie Landon, Oliver Purcell, Lucia Marucci, Claire Grierson
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/fcb0a9f768a24f66b3f4d9ff459240f9
Publikováno v:
ACS Synthetic Biology. 10:1598-1604
The minimal gene set for life has often been theorised, with at least ten produced forMycoplasma genitalium(M. genitalium). Due to the difficulty of usingM. genitaliumin the lab, combined with its long replication time of 12 - 15 hours, none of these
Autor:
Oliver Purcell, Joshua Rees, Oliver Chalkley, Sophie Landon, Claire S. Grierson, Lucia Marucci
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Rees-Garbutt, J, Chalkley, O, Landon, S, Purcell, O, Marucci, L & Grierson, C 2020, ' Designing Minimal Genomes Using Whole-Cell Models ', Nature Communications, vol. 11, 836 (2020) . https://doi.org/10.1038/s41467-020-14545-0
Nature Communications
Rees-Garbutt, J, Chalkley, O, Landon, S, Purcell, O, Marucci, L & Grierson, C 2020, ' Designing Minimal Genomes Using Whole-Cell Models ', Nature Communications, vol. 11, 836 (2020) . https://doi.org/10.1038/s41467-020-14545-0
Nature Communications
In the future, entire genomes tailored to specific functions and environments could be designed using computational tools. However, computational tools for genome design are currently scarce. Here we present algorithms that enable the use of design-s
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2189
Synthetic biologists engineer cells and cellular functions using design-build-test cycles; when the task is to extensively engineer entire genomes, the lack of appropriate design tools and biological knowledge about each gene in a cell can lengthen t
SummaryWhole-cell modelling is a newly expanding field that has many applications in lab experiment design and predictive drug testing. Although whole-cell model output contains a wealth of information, it is complex and high dimensional, thus hard t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07a9c3a59482c11e3591cac9da7421d3
https://doi.org/10.1101/2020.08.19.257147
https://doi.org/10.1101/2020.08.19.257147
MotivationComputational biology is a rapidly developing field, and in-silico methods are being developed to aid the design of genomes to create cells with optimised phenotypes. Two barriers to progress are that in-silico methods are often only develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ad6f188b25dbbb065fe92a26f01a2c1
https://doi.org/10.1101/681270
https://doi.org/10.1101/681270
Publikováno v:
Methods in Molecular Biology
Methods in Molecular Biology-Computational Methods in Synthetic Biology
Methods in Molecular Biology ISBN: 9781071608210
Computational Methods in Synthetic Biology
Methods in Molecular Biology-Computational Methods in Synthetic Biology
Methods in Molecular Biology ISBN: 9781071608210
Computational Methods in Synthetic Biology
Synthetic biologists engineer cells and cellular functions using design-build-test cycles; when the task is to extensively engineer entire genomes, the lack of appropriate design tools and biological knowledge about each gene in a cell can lengthen t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2142f504be5eef0ab9fc8efb49183ea5