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camlhmp: a simple framework for building reproducible microbial genome-based typing tools.

Robert A Petit1,2, Chayse M Rowley1, Taylor R Fearing1

  • 1Wyoming Public Health Laboratory, Wyoming Department of Health, Cheyenne, Wyoming, USA.

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Summary
This summary is machine-generated.

We created camlhmp, a framework to simplify microbial genomics typing tool development. This promotes consistency and community involvement in microbial sequence-based typing.

Keywords:
bioinformaticsmicrobial genomicssequence-based typingsoftware

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Area of Science:

  • Microbial Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Sequence-based typing is crucial for understanding microbial populations.
  • Current typing tools are often developed independently, causing redundancy and format inconsistencies.
  • Limited community participation hinders the advancement of microbial typing methodologies.

Purpose of the Study:

  • To develop a unified framework for creating, executing, and maintaining microbial typing tools.
  • To address the challenges of duplicated effort and inconsistent formats in existing tools.
  • To foster greater community participation in the development of microbial genomics tools.

Main Methods:

  • Developed camlhmp, a novel framework for microbial typing tool development.
  • Utilized simple, human-readable YAML files for tool configuration and execution.
  • Provided a centralized platform accessible via GitHub (https://github.com/rpetit3/camlhmp).

Main Results:

  • camlhmp streamlines the creation and maintenance of sequence-based typing tools.
  • The framework promotes standardized formats and reduces duplicated efforts.
  • Facilitates easier execution and maintenance of typing tools.

Conclusions:

  • camlhmp offers a standardized and accessible solution for microbial typing tool development.
  • The framework is expected to enhance reproducibility and collaboration within the microbial genomics community.
  • Simplifying tool development can accelerate research in microbial genomics and epidemiology.