From sequence to structure workflow for analysis of CRISPR-Cas immunity dynamics in microbial populations

Researchers are developing a genomics tool to analyze CRISPR population diversity in bacterial genomes, aiming to enhance predictive models for microbial infection epidemiology.
  • Epidemiological Models: Focus on ecological and evolutionary impacts of microbial genetic elements.
  • Diversity Metrics: Aims to improve analysis of CRISPR spacers in empirical data.
  • Accessible Tool: Seeks to create user-friendly resources for diverse bacterial populations.

Description

Predictive models for the epidemiology of infection by genetic elements of microbes are necessary to address both their ecological and evolutionary impacts. Metrics have been developed that describe the diversity of the CRISPR spacers and their outcome in simple microbial communities; however, their comparative application to empirical data sets is limited. Rachel Whitaker, Irene Newton and colleagues will develop an accessible genomics tool for analysis of CRISPR population diversity in populations of bacterial genomes.


People on this Project


Publications

  • Collins & Whitaker, 2023

    Collins, A. J., & Whitaker, R. J. (2023). CRISPR Comparison Toolkit: Rapid identification, visualization, and analysis of CRISPR array diversity. The CRISPR Journal, 6(4), 386–400.

    https://doi.org/10.1089/crispr.2022.0080