Genome Mining

Genome Mining is a computational and bioinformatic approach within biocatalyst discovery that systematically identifies and characterizes potential enzyme-encoding genes from genomic sequences by leveraging sequence homology, functional motifs, and phylogenetic relationships to prioritize targets for experimental validation.

883

Publications

61.5K

Citations

4.6K

Authors

1.2K

Institutions

Publications per year

2017–2026

582

Authors

4.6K

  1. TW
    Tilmann Weber

    Technical University of Denmark, Denmark

    22 publications · 15K citations

    22

    h-index

  2. MH
    Marnix H. Medema

    Wageningen University & Research, Netherlands

    24 publications · 15.4K citations

    21

    h-index

  3. KB
    Kai Blin

    Novo Nordisk Foundation, Denmark

    19 publications · 15.2K citations

    18

    h-index

  4. YT
    Yi Tang

    University of California, Los Angeles, United States

    19 publications · 1.1K citations

    18

    h-index

  5. CH
    Christian Hertweck

    Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI), Germany

    23 publications · 935 citations

    18

    h-index

1–5 of 4.6K

Venues

  1. Journal of the American Chemical Society

    JACS · 43 publications · 2.8K citations

    33

    h-index

  2. Nucleic Acids Research

    32 publications · 20.2K citations

    29

    h-index

  3. Angewandte Chemie International Edition

    38 publications · 1.8K citations

    27

    h-index

  4. Frontiers in Microbiology

    43 publications · 1.6K citations

    25

    h-index

  5. ACS Chemical Biology

    31 publications · 1.5K citations

    23

    h-index

1–5