Variant Filtering

Variant Filtering is a computational procedure in genome sequencing informatics that belongs to the class of variant analysis methods, specifically designed to distinguish biologically meaningful genetic variants from sequencing artifacts or false positives by applying quality, frequency, and annotation-based thresholds during variant calling.

152

Publications

8.6K

Citations

1.4K

Authors

556

Institutions

Publications per year

2017–2026

98

Authors

1.4K

  1. AO
    Anne O’Donnell‐Luria

    Broad Institute, United States

    7 publications · 666 citations

    6

    h-index

  2. SM
    Steven M. Harrison

    Broad Institute, United States

    5 publications · 285 citations

    4

    h-index

  3. CM
    Christopher M. Watson

    University of Leeds, United Kingdom

    4 publications · 109 citations

    4

    h-index

  4. HD
    Harriet Dashnow

    University of Utah, United States

    4 publications · 269 citations

    4

    h-index

  5. KJ
    Konrad J. Karczewski

    Massachusetts General Hospital, United States

    3 publications · 543 citations

    3

    h-index

1–5 of 1.4K

Venues

  1. Bioinformatics

    12 publications · 894 citations

    12

    h-index

  2. BMC Bioinformatics

    9 publications · 596 citations

    9

    h-index

  3. Human Mutation

    9 publications · 398 citations

    9

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 226 citations

    8

    h-index

  5. PLoS ONE

    6 publications · 265 citations

    6

    h-index

1–5