Sequence Coverage Visualization

Sequence Coverage Visualization is a visualization method that specifically represents the extent and distribution of sequence data alignment or presence across a reference sequence, distinguishing itself by quantitatively depicting coverage depth and positional completeness within genomic, transcriptomic, or similar sequential analyses.

10

Publications

6.1K

Citations

60

Authors

31

Institutions

Publications per year

2017–2026

3

Authors

60

  1. KA
    Katherine A. Brown

    Imperial College London, United Kingdom

    1 publications · 119 citations

    1

    h-index

  2. JL
    John Lai

    Queensland University of Technology, Australia

    1 publications · 22 citations

    1

    h-index

  3. PS
    Paul Stothard

    University of Alberta, Canada

    1 publications · 1.5K citations

    1

    h-index

  4. MB
    Mark Bowser

    University of Pennsylvania, United States

    1 publications · 78 citations

    1

    h-index

  5. SG
    Sivakumar Gowrisankar

    Brigham and Women's Hospital, United States

    1 publications · 78 citations

    1

    h-index

1–5 of 60

Venues

  1. Nucleic Acids Research

    2 publications · 5.7K citations

    2

    h-index

  2. BMC Bioinformatics

    1 publications · 28 citations

    1

    h-index

  3. BMC Genomics

    1 publications · 22 citations

    1

    h-index

  4. Epigenetics & Chromatin

    1 publications · 71 citations

    1

    h-index

  5. PeerJ

    1 publications · 119 citations

    1

    h-index

1–5