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...
Saved in:
Main Authors: | Firas S. Midani, James Collins, Robert A. Britton |
---|---|
Format: | article |
Language: | EN |
Published: |
American Society for Microbiology
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/a33f56f4c34a40e39695203a1d14f9db |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Metagenomic Assay for Identification of Microbial Pathogens in Tumor Tissues
by: Don A. Baldwin, et al.
Published: (2014) -
Ecological Adaptation and Succession of Human Fecal Microbial Communities in an Automated
<i>In Vitro</i>
Fermentation System
by: Thiyagarajan Gnanasekaran, et al.
Published: (2021) -
The Relationship between Microbial Community Evenness and Function in Slow Sand Filters
by: Sarah-Jane Haig, et al.
Published: (2015) -
Anaerobic Microbial Metabolism of Dichloroacetate
by: Gao Chen, et al.
Published: (2021) -
Identification of Simplified Microbial Communities That Inhibit <named-content content-type="genus-species">Clostridioides difficile</named-content> Infection through Dilution/Extinction
by: Jennifer M. Auchtung, et al.
Published: (2020)