DANAMIC: Data analyzer of minimum inhibitory concentrations – Protocol to analyze antimicrobial susceptibility data

This protocol describes an open-source software developed to analyze experimental data obtained using antimicrobial susceptibility assays. We first describe experimental procedures for testing the activity of antimicrobial agents in vitro based on reference standards (BS EN ISO 20776-1:2020). We the...

Descripción completa

Detalles Bibliográficos
Autores principales: Garcia-Ruiz, Javier, Ryadnov, Maxim G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641264/
https://www.ncbi.nlm.nih.gov/pubmed/36386890
http://dx.doi.org/10.1016/j.xpro.2022.101782
_version_ 1784826060032966656
author Garcia-Ruiz, Javier
Ryadnov, Maxim G.
author_facet Garcia-Ruiz, Javier
Ryadnov, Maxim G.
author_sort Garcia-Ruiz, Javier
collection PubMed
description This protocol describes an open-source software developed to analyze experimental data obtained using antimicrobial susceptibility assays. We first describe experimental procedures for testing the activity of antimicrobial agents in vitro based on reference standards (BS EN ISO 20776-1:2020). We then describe the software protocol to analyze and convert the data obtained using these procedures into minimum inhibitory concentrations. This approach enables automated data analysis for microdilution assays and can be adapted for high-throughput antimicrobial screening.
format Online
Article
Text
id pubmed-9641264
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-96412642022-11-15 DANAMIC: Data analyzer of minimum inhibitory concentrations – Protocol to analyze antimicrobial susceptibility data Garcia-Ruiz, Javier Ryadnov, Maxim G. STAR Protoc Protocol This protocol describes an open-source software developed to analyze experimental data obtained using antimicrobial susceptibility assays. We first describe experimental procedures for testing the activity of antimicrobial agents in vitro based on reference standards (BS EN ISO 20776-1:2020). We then describe the software protocol to analyze and convert the data obtained using these procedures into minimum inhibitory concentrations. This approach enables automated data analysis for microdilution assays and can be adapted for high-throughput antimicrobial screening. Elsevier 2022-11-04 /pmc/articles/PMC9641264/ /pubmed/36386890 http://dx.doi.org/10.1016/j.xpro.2022.101782 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Garcia-Ruiz, Javier
Ryadnov, Maxim G.
DANAMIC: Data analyzer of minimum inhibitory concentrations – Protocol to analyze antimicrobial susceptibility data
title DANAMIC: Data analyzer of minimum inhibitory concentrations – Protocol to analyze antimicrobial susceptibility data
title_full DANAMIC: Data analyzer of minimum inhibitory concentrations – Protocol to analyze antimicrobial susceptibility data
title_fullStr DANAMIC: Data analyzer of minimum inhibitory concentrations – Protocol to analyze antimicrobial susceptibility data
title_full_unstemmed DANAMIC: Data analyzer of minimum inhibitory concentrations – Protocol to analyze antimicrobial susceptibility data
title_short DANAMIC: Data analyzer of minimum inhibitory concentrations – Protocol to analyze antimicrobial susceptibility data
title_sort danamic: data analyzer of minimum inhibitory concentrations – protocol to analyze antimicrobial susceptibility data
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641264/
https://www.ncbi.nlm.nih.gov/pubmed/36386890
http://dx.doi.org/10.1016/j.xpro.2022.101782
work_keys_str_mv AT garciaruizjavier danamicdataanalyzerofminimuminhibitoryconcentrationsprotocoltoanalyzeantimicrobialsusceptibilitydata
AT ryadnovmaximg danamicdataanalyzerofminimuminhibitoryconcentrationsprotocoltoanalyzeantimicrobialsusceptibilitydata

Ejemplares similares