AMiGA: Software for Automated Analysis of Microbial Growth Assays
Firas S. Midani, James Collins, Robert A. Britton
Abstract
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. Our software provides an all-in-one tool for estimating the growth parameters of microbial cultures and testing for differential growth in a high-throughput and user-friendly fashion without any underlying assumptions about how microbes respond to their growth conditions.
Topics & Concepts
Biochemical engineeringBacterial growthComputer scienceBiologyComputational biologyEngineeringBacteriaGeneticsGut microbiota and healthMicrobial Metabolic Engineering and BioproductionMetabolomics and Mass Spectrometry Studies