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Data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981123/ http://dx.doi.org/10.1186/1753-6561-7-S6-P115 |
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author | Graham, Lisa J Breit, Jeffrey F Davis, Lynn A Dow-Hygeland, Corey C Downey, Brandon J |
author_facet | Graham, Lisa J Breit, Jeffrey F Davis, Lynn A Dow-Hygeland, Corey C Downey, Brandon J |
author_sort | Graham, Lisa J |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-3981123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39811232014-04-24 Data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes Graham, Lisa J Breit, Jeffrey F Davis, Lynn A Dow-Hygeland, Corey C Downey, Brandon J BMC Proc Poster Presentation BioMed Central 2013-12-04 /pmc/articles/PMC3981123/ http://dx.doi.org/10.1186/1753-6561-7-S6-P115 Text en Copyright © 2013 Graham et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Poster Presentation Graham, Lisa J Breit, Jeffrey F Davis, Lynn A Dow-Hygeland, Corey C Downey, Brandon J Data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes |
title | Data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes |
title_full | Data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes |
title_fullStr | Data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes |
title_full_unstemmed | Data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes |
title_short | Data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes |
title_sort | data integration methodology that couples novel bioreactor monitoring tools, automated sampling, and applied mathematics to redefine bioproduction processes |
topic | Poster Presentation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981123/ http://dx.doi.org/10.1186/1753-6561-7-S6-P115 |
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