BactMAP
BactMAP integrates, analyzes, and visualizes bacterial microscopy data as an R package to enable quantitative, high-throughput single-cell analyses of bacterial cellular processes.
Key Features:
- Integration Capability: Transforms cell segmentation and spot detection outputs from multiple segmentation and detection programs into standardized data for downstream analysis.
- Standardization for Comparison: Standardizes outputs to enable consistent comparisons across datasets within a single analysis pipeline.
- Customization Options: Provides customizable analysis and output layout options for tailored data processing and visualization.
- Advanced Statistical Tools: Performs statistical analyses using standard R practices.
- Graphical Output Compatibility: Generates ggplot2-compatible graphical outputs for adjustable plotting.
Scientific Applications:
- Cell cycle and protein dynamics visualization: Visualizes cell cycle parameters and protein dynamics at single-cell resolution.
- Comparative bacterial cell cycle analysis: Has been applied to analyze Bacillus subtilis and Staphylococcus aureus cell cycle data.
- Replication fork dynamics discovery: Helped reveal that DNA replication forks in Streptococcus pneumoniae dissociate and reassociate prior to cell division following Z-ring formation at new quarter positions.
Methodology:
Transforms cell segmentation and spot detection outputs from multiple segmentation/detection programs into standardized data structures, applies statistical analyses using standard R methods, and produces ggplot2-compatible plots.
Topics
Details
- License:
- MIT
- Cost:
- Free
- Programming Languages:
- R
- Added:
- 11/14/2019
- Last Updated:
- 11/24/2024
Operations
Publications
van Raaphorst R, Kjos M, Veening J. BactMAP: An R package for integrating, analyzing and visualizing bacterial microscopy data. Molecular Microbiology. 2019;113(1):297-308. doi:10.1111/mmi.14417. PMID:31693257. PMCID:PMC7027861.
DOI: 10.1111/mmi.14417
PMID: 31693257
PMCID: PMC7027861
Funding: - H2020 European Research Council: ERC consolidator grant 771534‐PneumoCaTChER
- Norges Forskningsråd: 250976, 296906
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung: 31003A_172861, 40AR40_185533