webSalvador

webSalvador analyzes Luria-Delbrück fluctuation experiment data to estimate mutation rates and perform statistical and visualization analyses of spontaneous mutations.

Key Features:

• rSalvador integration: Encapsulates most functions available in the R package rSalvador for fluctuation analysis.
• Mutation rate estimation: Provides quantitative estimation of mutation rates from fluctuation experiment data.
• Statistical evaluation: Performs statistical evaluation of experimental data from Luria-Delbrück fluctuation experiments.
• Visualization: Generates visualizations to support interpretation of mutation distributions and results.
• Containerized deployment: Packaged as a Docker image for consistent computational deployment.

Scientific Applications:

• Fluctuation experiment analysis: Analysis and interpretation of Luria-Delbrück fluctuation experiment datasets to study spontaneous mutations.
• Mutation rate quantification: Quantitative estimation of mutation rates using fluctuation experiment data.
• Statistical and visual interpretation: Statistical testing and visualization of fluctuation experiment results to support biological interpretation of mutation processes.

Methodology:

Implements functions from the R package rSalvador and is distributed as a Docker image.