Strain Heterogeneity Analysis

Strain Heterogeneity Analysis is a computational method in metagenomics that characterizes the genetic diversity of microbial strains within a community by distinguishing coexisting variants of the same species based on differential patterns of single-nucleotide variants, gene content, or structural variations in recovered genome sequences.

78

Publications

4.7K

Citations

363

Authors

143

Institutions

Publications per year

2017–2026

24

Authors

363

  1. JF
    Jillian F. Banfield

    University of California, Berkeley, United States

    4 publications · 1.1K citations

    4

    h-index

  2. BF
    Brian Firek

    University of Pittsburgh, United States

    2 publications · 829 citations

    2

    h-index

  3. GG
    Giorgio Giraffa

    Istituto Sperimentale Italiano Lazzaro Spallanzani, Italy

    2 publications · 73 citations

    2

    h-index

  4. EK
    Enver Kapan

    Boğaziçi University, Türkiye

    2 publications · 55 citations

    2

    h-index

  5. SR
    Simon Roux

    Joint Genome Institute, United States

    2 publications · 364 citations

    2

    h-index

1–5 of 363

Venues

  1. Journal of Applied Microbiology

    3 publications · 81 citations

    3

    h-index

  2. FEMS Microbiology Letters

    3 publications · 92 citations

    3

    h-index

  3. Journal of Medical Microbiology

    JMM · 2 publications · 71 citations

    2

    h-index

  4. Genetics

    2 publications · 72 citations

    2

    h-index

  5. Nature Communications

    2 publications · 396 citations

    2

    h-index

1–5