Sequencing Depth Normalization

Sequencing Depth Normalization is a computational method used in microbial community profiling and single-cell quality control that adjusts sequencing data to account for variations in sequencing depth across samples, thereby enabling accurate comparison of microbial or cellular composition by scaling read counts to a common standard.

51

Publications

11K

Citations

263

Authors

119

Institutions

Publications per year

2017–2026

33

Variants

Read Count Normalization

Authors

263

  1. QL
    Qunhua Li

    Pennsylvania State University, United States

    4 publications · 1K citations

    4

    h-index

  2. RC
    Ross C. Hardison

    Pennsylvania State University, United States

    3 publications · 738 citations

    3

    h-index

  3. GB
    Gregory B. Gloor

    Western University, Canada

    3 publications · 480 citations

    3

    h-index

  4. RK
    Rob Knight

    University of California San Diego, United States

    3 publications · 137 citations

    3

    h-index

  5. HZ
    Hongyu Zhao

    Yale University, United States

    2 publications · 59 citations

    2

    h-index

1–5 of 263

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 445 citations

    8

    h-index

  2. Nucleic Acids Research

    4 publications · 299 citations

    4

    h-index

  3. Genome biology

    4 publications · 5.2K citations

    4

    h-index

  4. BMC Bioinformatics

    3 publications · 166 citations

    3

    h-index

  5. BMC Genomics

    3 publications · 148 citations

    3

    h-index

1–5