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  3. Genescanner: Profiling Genetic Variation Across Bacterial Populations.
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  3. Genescanner: Profiling Genetic Variation Across Bacterial Populations.

Related Experiment Video

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

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Published on: December 7, 2021

GeneScanner: profiling genetic variation across bacterial populations.

Carolin M Kobras1,2, Seungwon Ko3, Priyanshu S Raikwar3

  • 1Sir William Dunn School of Pathology, University of Oxford, Oxford, UK.

Microbial Genomics
|June 2, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

GeneScanner simplifies bacterial genomics by detecting gene and protein variations. This tool helps researchers link genetic changes to traits like drug resistance, accelerating microbial research.

Keywords:
antimicrobial resistancebiofilmbioinformaticscomparative genomicsgenetic variationhost associationmutation analysisvariant calling

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Area of Science:

  • Microbial Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Genome sequencing advances microbiology, linking genetic and phenotypic variation.
  • Functional screens and comparative genomics reveal trait mechanisms and diversity.
  • Integrating these approaches is challenging due to bioinformatics skill gaps.

Purpose of the Study:

  • To develop GeneScanner, a user-friendly tool for analyzing gene and protein variation in bacterial genomes.
  • To enable researchers to interpret microbial variation and its link to phenotypes.
  • To bridge the skills gap in bioinformatics for microbial genomics research.

Main Methods:

  • GeneScanner detects genetic variants and amino acid substitutions in homologous sequences.
  • Utilized synthetic data and three empirical case studies for validation.
  • Applied to diverse bacterial species and phenotypes.

    • Main Results:

    • GeneScanner reliably identifies nucleotide and protein-level variants associated with specific traits.
    • Demonstrated accuracy using synthetic and real-world data.
    • Case studies highlight broad applicability across different microbial systems.

    Conclusions:

    • GeneScanner enhances the functional interpretation of microbial variation.
    • The tool supports research in antimicrobial resistance, host-pathogen interactions, and microbial evolution.
    • Facilitates broader research in epidemiology and public health by simplifying genomic analysis.