Molecular Kinetics and CRISPR-Based Plasmid Defense: Single-Cell and Population Data

Daniel Jones's research provides code and processed single-cell data for analyzing plasmid dynamics. The dataset supports image analysis for tracking conjugative plasmids in microfluidic chambers, bioinformatic analysis of CRISPR spacer and toxin-antitoxin systems across bacterial plasmids, and agent-based simulations of population dynamics. Raw image data is stored separately in a linked BioImage archive repository.

Use Cases

• Tracking plasmid population dynamics in microfluidic growth chambers based on segmentation and fluorescent dot detection code
• Comparative genomic analysis of CRISPR spacer and toxin-antitoxin system presence across bacterial plasmids
• Simulating plasmid population dynamics using agent-based models parameterized with single-cell biophysical data
• Validating computational models of plasmid defense by directly comparing simulation outputs with experimental imaging data

Strengths

• Includes multi-level data from molecular, single-cell, and population scales, as described in the study methodology
• Dataset size is 1.59 GB, indicating substantial processed data and code
• Published under a permissive CC-BY-4.0 license facilitating reuse
• Code is explicitly linked to a peer-reviewed publication, providing context and validation

Limitations

• Column names and a precise row count for any tabular data are not provided in the available metadata
• Raw image data is not included directly but is housed in a separate, linked repository
• The dataset's primary content is code and intermediate processed data, not the raw experimental outputs

Provenance

Source

Daniel Jones

Collection Method

Generated from time-lapse imaging experiments and subsequent computational analysis for a specific research publication.

Freshness

Last updated 2026-03-23