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Auto-MuRCiS: a streamlined software package for analysis of multiplex, randomized CRISPR interference sequencing

Kevin S Myers1, Michael Place1, Audrey P Gasch1,2

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Summary

Multiplex, randomized CRISPR interference sequencing (MuRCiS) identifies multiple gene knockouts affecting microbial processes. Auto-MuRCiS is an updated Docker-based tool for rapid and user-friendly analysis of MuRCiS data.

Keywords:
CRISPRicomputationdockerpipelinepython

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Multiplex, randomized CRISPR interference sequencing (MuRCiS) is a powerful technique for identifying genes involved in microbial processes.
  • Analyzing MuRCiS data can be complex and time-consuming, potentially limiting its widespread adoption.

Purpose of the Study:

  • To develop an updated, user-friendly analysis tool for MuRCiS data.
  • To streamline and accelerate the process of identifying multiple gene knockouts influencing microbial functions.

Main Methods:

  • Development of Auto-MuRCiS, a novel analysis tool.
  • Implementation of Docker for enhanced portability and ease of use.
  • Application of Auto-MuRCiS to analyze multiplex, randomized CRISPR interference sequencing data.

Main Results:

  • Auto-MuRCiS provides rapid analysis of MuRCiS data.
  • The tool enhances the user-friendliness of the MuRCiS data analysis workflow.
  • Successful identification of multiple gene knockouts impacting microbial processes.

Conclusions:

  • Auto-MuRCiS significantly improves the efficiency and accessibility of MuRCiS data analysis.
  • This tool facilitates deeper investigation into complex microbial genetic interactions.
  • The updated analysis pipeline supports broader research in microbial genomics and synthetic biology.