Multi Sample Variant Calling

Multi Sample Variant Calling is a variant calling method that simultaneously analyzes genomic data from multiple individuals to jointly infer genetic variants, leveraging shared information across samples to improve accuracy and consistency compared to single-sample approaches.

36

Publications

4.4K

Citations

311

Authors

118

Institutions

Publications per year

2017–2026

14

Authors

311

  1. MC
    Michael C. Zody

    Broad Institute, United States

    2 publications · 275 citations

    2

    h-index

  2. KN
    Kshithija Nagulapalli

    Massachusetts General Hospital, United States

    2 publications · 275 citations

    2

    h-index

  3. US
    Uday S. Evani

    New York Genome Center, United States

    2 publications · 275 citations

    2

    h-index

  4. SF
    Susan Fairley

    European Bioinformatics Institute, United Kingdom

    2 publications · 275 citations

    2

    h-index

  5. AR
    Allison Regier

    James S. McDonnell Foundation, United States

    2 publications · 275 citations

    2

    h-index

1–5 of 311

Venues

  1. Bioinformatics

    5 publications · 287 citations

    5

    h-index

  2. BMC Bioinformatics

    5 publications · 202 citations

    5

    h-index

  3. PLoS ONE

    5 publications · 541 citations

    5

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 2.4K citations

    4

    h-index

  5. BMC Genomics

    3 publications · 270 citations

    3

    h-index

1–5