Metagenomic Source Detection

Metagenomic Source Detection is a computational method that identifies the biological origin of genetic material within complex environmental samples by analyzing metagenomic sequencing data to attribute microbial signatures to their most likely source populations.

27

Publications

1.6K

Citations

145

Authors

60

Institutions

Publications per year

2017–2026

18

Authors

145

  1. AR
    Anicet R. Blanch

    Universitat de Barcelona, Spain

    2 publications · 91 citations

    2

    h-index

  2. SO
    Seungdae Oh

    Kyung Hee University, South Korea

    2 publications · 50 citations

    2

    h-index

  3. JW
    Jonathan Wijaya

    Kyung Hee University, South Korea

    2 publications · 50 citations

    2

    h-index

  4. JP
    Joonhong Park

    Yonsei University, South Korea

    2 publications · 50 citations

    2

    h-index

  5. RD
    Ran Du

    Chinese Academy of Agricultural Sciences, China

    1 publications · 39 citations

    1

    h-index

1–5 of 145

Venues

  1. Water Research

    5 publications · 236 citations

    5

    h-index

  2. Frontiers in Microbiology

    2 publications · 90 citations

    2

    h-index

  3. Soil Biology and Biochemistry

    2 publications · 684 citations

    2

    h-index

  4. Biology Direct

    BD · 2 publications · 47 citations

    2

    h-index

  5. Food Research International

    1 publications · 23 citations

    1

    h-index

1–5