Read Length Distribution Analysis

Read Length Distribution Analysis is a quality control metric in sequence analysis that characterizes the variability and composition of nucleotide read lengths within a sequencing dataset to assess sequencing performance and potential biases.

23

Publications

1.5K

Citations

141

Authors

63

Institutions

Publications per year

2017–2026

10

Authors

141

  1. RL
    René L. Warren

    Canada's Michael Smith Genome Sciences Centre, Canada

    2 publications · 307 citations

    2

    h-index

  2. İB
    İnanç Birol

    Canada's Michael Smith Genome Sciences Centre, Canada

    2 publications · 307 citations

    2

    h-index

  3. CY
    Chen Yang

    University of British Columbia, Canada

    2 publications · 307 citations

    2

    h-index

  4. JC
    Justin Chu

    Canada's Michael Smith Genome Sciences Centre, Canada

    2 publications · 307 citations

    2

    h-index

  5. CW
    Carolin Walter

    University of Münster, Germany

    1 publications · 20 citations

    1

    h-index

1–5 of 141

Venues

  1. Bioinformatics

    5 publications · 580 citations

    5

    h-index

  2. BMC Bioinformatics

    3 publications · 115 citations

    3

    h-index

  3. GigaScience

    2 publications · 308 citations

    2

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 51 citations

    2

    h-index

  5. Frontiers in Molecular Biosciences

    1 publications · 20 citations

    1

    h-index

1–5