Read Normalization

Read Normalization is a computational preprocessing method in transcriptome assembly that reduces sequencing depth bias by uniformly downsampling reads to a target coverage level, thereby minimizing redundancy while preserving transcript diversity.

66

Publications

26.4K

Citations

366

Authors

167

Institutions

Publications per year

2017–2026

26

Variants

Digital Normalization

Authors

366

  1. SD
    Sandrine Dudoit

    University of California, Berkeley, United States

    3 publications · 4.8K citations

    3

    h-index

  2. LP
    Lior Pachter

    University of California, Berkeley, United States

    2 publications · 41 citations

    2

    h-index

  3. WE
    Wolfgang Enard

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 457 citations

    2

    h-index

  4. DL
    David Langenberger

    Leipzig University, Germany

    2 publications · 122 citations

    2

    h-index

  5. KD
    Kasper D. Hansen

    Johns Hopkins University, United States

    2 publications · 2.5K citations

    2

    h-index

1–5 of 366

Venues

  1. Nucleic Acids Research

    8 publications · 1.4K citations

    8

    h-index

  2. Bioinformatics

    8 publications · 403 citations

    8

    h-index

  3. BMC Bioinformatics

    8 publications · 2.2K citations

    8

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 6 publications · 154 citations

    6

    h-index

  5. Briefings in Bioinformatics

    3 publications · 1.5K citations

    3

    h-index

1–5