K-mer Frequency Analysis

K-Mer Frequency Analysis is a computational method in metagenome binning that quantifies the occurrence frequencies of fixed-length nucleotide subsequences (k-mers) across metagenomic reads to exploit species-specific sequence composition biases for distinguishing genomic origins.

102

Publications

10K

Citations

569

Authors

247

Institutions

Publications per year

2017–2026

62

Authors

569

  1. HH
    Hideki Hirakawa

    Kazusa DNA Research Institute, Japan

    4 publications · 689 citations

    4

    h-index

  2. FS
    Fengzhu Sun

    University of Southern California, United States

    4 publications · 885 citations

    4

    h-index

  3. KS
    Kenta Shirasawa

    Kazusa DNA Research Institute, Japan

    3 publications · 581 citations

    3

    h-index

  4. SI
    Sachiko Isobe

    Kazusa DNA Research Institute, Japan

    3 publications · 581 citations

    3

    h-index

  5. CT
    C. Titus Brown

    University of California, Davis, United States

    2 publications · 132 citations

    2

    h-index

1–5 of 569

Venues

  1. Bioinformatics

    10 publications · 1.5K citations

    10

    h-index

  2. BMC Bioinformatics

    9 publications · 675 citations

    9

    h-index

  3. BMC Genomics

    7 publications · 564 citations

    7

    h-index

  4. GigaScience

    5 publications · 286 citations

    5

    h-index

  5. Scientific Reports

    4 publications · 96 citations

    4

    h-index

1–5