Textbook

Computational Techniques for Microbiologists:
A Hands-On Approach

A practical, project-based introduction to computational methods for microbiologists and other learners who want experience turning microbial data into biological insight.

Computational Techniques for Microbiologists textbook cover

About the Textbook

  • PublicationExpected Q1 2027
  • AudienceMicrobiologists, students, instructors, workforce programs, and self-directed learners
  • Learning FormatHands-on, project-based instruction using real biological datasets, case studies, and reproducible computational workflows
  • CodingPython-coded Jupyter notebooks for data analysis, visualization, statistics, machine learning, and reproducible computational exercises
  • Workflow ToolsGalaxy workflows alongside command-line and graphical bioinformatics tools, giving learners experience across multiple computational environments
  • Supplemental ResourcesDatasets, notebooks, workflows, and supporting materials designed for direct use in applied learning

One original research study was generated through the textbook project: Oberoi, R. K., Gurung, D., & Harris, L. K. (2026). Cross-Omic Comparative Analysis Identifies Transcriptomic Signatures and Exploratory Gene Set-Level Signals in Sporadic Creutzfeldt–Jakob Disease. International Journal of Molecular Sciences, 27(15), 6560. https://doi.org/10.3390/ijms27156560

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Textbook Chapter Topics

Planned chapters cover foundational bioinformatics concepts through advanced microbial data analysis, multi-omics, systems biology, public health applications, ethics, and reproducibility.

  1. Bioinformatics Concepts for Microbiologists
  2. Microbial Data Science
  3. Statistical Analysis
  4. Machine Learning
  5. Genomic Assembly, Sequence Analysis, and Annotation
  6. Comparative Genomics and Pangenome Analysis
  7. Metagenomics and Microbial Community Analysis
  8. Transcriptomics and Metatranscriptomics
  9. Proteomics and Protein Bioinformatics
  10. Protein Structural Modeling
  11. Metabolomics
  12. Data Integration and Multi-omics
  13. Systems Biology
  14. Public Health and Epidemiology
  15. Ethics and Reproducibility

Questions about the textbook?

Contact Harris Analytics Institute with questions about Computational Techniques for Microbiologists: A Hands-On Approach, instructional use, supplemental resources, or publication updates.

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