GRmetrics

GRmetrics calculates growth-rate inhibition (GR) metrics and visualizes them to quantify and interpret effects of inhibitors on microbial growth under varying conditions.

Key Features:

• GR metric calculation: Calculates growth-rate inhibition (GR) metrics from growth measurement data to quantify drug or condition effects on growth rates.
• Visualization: Generates plots of GR values and growth curves to display changes in growth patterns and dose–response relationships.
• Statistical methods in R: Implements statistical techniques in the R environment to estimate GR parameters and support reproducible analyses.
• Bioconductor interoperability: Operates within the Bioconductor framework to integrate with Bioconductor data structures and packages.
• Integration with genomic data: Supports combining GR data with other genomic datasets for joint analyses.

Scientific Applications:

• Inhibitor effect quantification: Quantify the effects of chemical inhibitors or antimicrobial compounds on microbial growth rates using GR metrics.
• Growth pattern visualization: Visualize changes in growth dynamics to facilitate hypothesis generation and testing.
• Genomic integration: Integrate GR metrics with genomic datasets for comprehensive analyses of growth phenotypes.
• Antimicrobial resistance studies: Assess the impact of candidate inhibitors in studies of antimicrobial resistance.
• Synthetic biology and metabolic engineering: Analyze growth characteristics of engineered strains for synthetic biology and metabolic engineering research.

Methodology:

Implemented in R within the Bioconductor framework, the package applies statistical techniques to compute GR metrics and produces visualizations of GR values and growth curves.