Microbiology Data Analytics

Microbiology Data Analytics is a computational discipline that integrates statistical, algorithmic, and machine learning techniques to systematically interpret, model, and derive meaningful biological insights from complex datasets generated in microbiology laboratory settings.

81

Publications

8K

Citations

536

Authors

271

Institutions

Publications per year

2017–2026

51

Authors

536

  1. JG
    J. Gregory Caporaso

    Northern Arizona University, United States

    6 publications · 1.9K citations

    6

    h-index

  2. EB
    Evan Bolyen

    Northern Arizona University, United States

    5 publications · 1.9K citations

    5

    h-index

  3. MR
    Matthew R. Dillon

    Northern Arizona University, United States

    5 publications · 1.9K citations

    5

    h-index

  4. GH
    Gavin Huttley

    Australian National University, Australia

    5 publications · 1.9K citations

    5

    h-index

  5. BD
    Benjamin D. Kaehler

    Australian National University, Australia

    5 publications · 1.9K citations

    5

    h-index

1–5 of 536

Venues

  1. Bioinformatics

    5 publications · 1.2K citations

    5

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 205 citations

    5

    h-index

  3. Water Research

    5 publications · 359 citations

    4

    h-index

  4. Journal of Microbiological Methods

    3 publications · 157 citations

    3

    h-index

  5. PLoS ONE

    3 publications · 50 citations

    3

    h-index

1–5