Genome Coverage Analysis

Genome Coverage Analysis is a computational method in genome sequencing informatics that quantifies the depth and uniformity of sequence reads mapped to a reference genome to assess the completeness and reliability of genome assembly and variant detection.

297

Publications

29.6K

Citations

2.5K

Authors

772

Institutions

Publications per year

2017–2026

137

Authors

2.5K

  1. AK
    Andrzej Kilian

    University of Canberra, Australia

    4 publications · 681 citations

    4

    h-index

  2. KP
    Kay Prüfer

    Max Planck Institute for Evolutionary Anthropology, Germany

    4 publications · 1.2K citations

    4

    h-index

  3. ML
    Ming‐Cheng Luo

    University of California, Davis, United States

    4 publications · 219 citations

    4

    h-index

  4. DG
    Dário Grattapaglia

    Brazilian Agricultural Research Corporation, Brazil

    4 publications · 694 citations

    4

    h-index

  5. TP
    Timothy P. L. Smith

    Roman L. Hruska U.S. Meat Animal Research Center, United States

    4 publications · 145 citations

    4

    h-index

1–5 of 2.5K

Venues

  1. BMC Genomics

    38 publications · 2.4K citations

    29

    h-index

  2. PLoS ONE

    15 publications · 954 citations

    15

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 11 publications · 543 citations

    11

    h-index

  4. BMC Bioinformatics

    8 publications · 643 citations

    8

    h-index

  5. Scientific Reports

    8 publications · 369 citations

    8

    h-index

1–5