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...
Guardado en:
Autores principales: | Firas S. Midani, James Collins, Robert A. Britton |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
American Society for Microbiology
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a33f56f4c34a40e39695203a1d14f9db |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Metagenomic Assay for Identification of Microbial Pathogens in Tumor Tissues
por: Don A. Baldwin, et al.
Publicado: (2014) -
Ecological Adaptation and Succession of Human Fecal Microbial Communities in an Automated
<i>In Vitro</i>
Fermentation System
por: Thiyagarajan Gnanasekaran, et al.
Publicado: (2021) -
The Relationship between Microbial Community Evenness and Function in Slow Sand Filters
por: Sarah-Jane Haig, et al.
Publicado: (2015) -
Anaerobic Microbial Metabolism of Dichloroacetate
por: Gao Chen, et al.
Publicado: (2021) -
Identification of Simplified Microbial Communities That Inhibit <named-content content-type="genus-species">Clostridioides difficile</named-content> Infection through Dilution/Extinction
por: Jennifer M. Auchtung, et al.
Publicado: (2020)