AMiGA: Software for Automated Analysis of Microbial Growth Assays

Our current understanding of microbial physiology relies on the simple method of measuring microbial populations’ sizes over time and under different conditions. Many advances have increased the throughput of those assays and enabled the study of nonlab-adapted microbes under diverse conditions tha...

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Main Authors:	Firas S. Midani, James Collins, Robert A. Britton
Format:	article
Language:	EN
Published:	American Society for Microbiology 2021
Subjects:	Microbiology QR1-502
Online Access:	https://doaj.org/article/a33f56f4c34a40e39695203a1d14f9db
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id	oai:doaj.org-article:a33f56f4c34a40e39695203a1d14f9db
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spelling	oai:doaj.org-article:a33f56f4c34a40e39695203a1d14f9db2021-12-02T19:35:57ZAMiGA: Software for Automated Analysis of Microbial Growth Assays2379-507710.1128/mSystems.00508-21https://doaj.org/article/a33f56f4c34a40e39695203a1d14f9db2021-08-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00508-21https://doaj.org/toc/2379-5077 Our current understanding of microbial physiology relies on the simple method of measuring microbial populations’ sizes over time and under different conditions. Many advances have increased the throughput of those assays and enabled the study of nonlab-adapted microbes under diverse conditions that widely affect their growth dynamics.Firas S. MidaniJames CollinsRobert A. BrittonAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmSystems, Vol 6, Iss 4 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbiology QR1-502
spellingShingle	Microbiology QR1-502 Firas S. Midani James Collins Robert A. Britton AMiGA: Software for Automated Analysis of Microbial Growth Assays
description	Our current understanding of microbial physiology relies on the simple method of measuring microbial populations’ sizes over time and under different conditions. Many advances have increased the throughput of those assays and enabled the study of nonlab-adapted microbes under diverse conditions that widely affect their growth dynamics.
format	article
author	Firas S. Midani James Collins Robert A. Britton
author_facet	Firas S. Midani James Collins Robert A. Britton
author_sort	Firas S. Midani
title	AMiGA: Software for Automated Analysis of Microbial Growth Assays
title_short	AMiGA: Software for Automated Analysis of Microbial Growth Assays
title_full	AMiGA: Software for Automated Analysis of Microbial Growth Assays
title_fullStr	AMiGA: Software for Automated Analysis of Microbial Growth Assays
title_full_unstemmed	AMiGA: Software for Automated Analysis of Microbial Growth Assays
title_sort	amiga: software for automated analysis of microbial growth assays
publisher	American Society for Microbiology
publishDate	2021
url	https://doaj.org/article/a33f56f4c34a40e39695203a1d14f9db
work_keys_str_mv	AT firassmidani amigasoftwareforautomatedanalysisofmicrobialgrowthassays AT jamescollins amigasoftwareforautomatedanalysisofmicrobialgrowthassays AT robertabritton amigasoftwareforautomatedanalysisofmicrobialgrowthassays
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AMiGA: Software for Automated Analysis of Microbial Growth Assays

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