Metagenomic Visualization

Metagenomic Visualization is a computational visualization method that specifically enables the representation and analysis of genetic material recovered directly from complex microbial communities, distinguishing it from other genome visualization approaches by its focus on uncultured, diverse, and environment-derived genomic data.

57

Publications

10.7K

Citations

373

Authors

179

Institutions

Publications per year

2017–2026

28

Authors

373

  1. FA
    Francesco Asnicar

    University of Trento, Italy

    4 publications · 2.6K citations

    4

    h-index

  2. NS
    Nicola Segata

    University of Trento, Italy

    4 publications · 2.6K citations

    4

    h-index

  3. CH
    Curtis Huttenhower

    Harvard University, United States

    4 publications · 2.6K citations

    4

    h-index

  4. RE
    Ruth E. Ley

    Cornell University, United States

    3 publications · 1.7K citations

    3

    h-index

  5. JW
    Jonathan Warren

    Environment Agency, United Kingdom

    3 publications · 1.7K citations

    3

    h-index

1–5 of 373

Venues

  1. Bioinformatics

    8 publications · 1K citations

    8

    h-index

  2. PLoS ONE

    6 publications · 431 citations

    6

    h-index

  3. BMC Bioinformatics

    5 publications · 2.3K citations

    5

    h-index

  4. Frontiers in Microbiology

    3 publications · 216 citations

    3

    h-index

  5. F1000Research

    2 publications · 169 citations

    2

    h-index

1–5