Reference-based Variant Detection

Reference-Based Variant Detection is a computational method in genomics that identifies genetic variants by aligning sequencing reads to a reference genome and detecting discrepancies indicative of nucleotide substitutions, insertions, deletions, or structural alterations.

60

Publications

8.2K

Citations

514

Authors

193

Institutions

Publications per year

2017–2026

30

Variants

Reference-based Variant Calling

Authors

514

  1. JM
    Justin M. Zook

    National Institute of Standards and Technology, United States

    6 publications · 1.2K citations

    6

    h-index

  2. CX
    Chunlin Xiao

    National Center for Biotechnology Information, United States

    4 publications · 746 citations

    4

    h-index

  3. AS
    Arend Sidow

    Stanford University, United States

    4 publications · 108 citations

    4

    h-index

  4. MY
    Megan Y. Dennis

    University of California, Davis, United States

    3 publications · 542 citations

    3

    h-index

  5. KH
    Karen H. Miga

    University of California, Santa Cruz, United States

    3 publications · 143 citations

    3

    h-index

1–5 of 514

Venues

  1. Genome biology

    8 publications · 674 citations

    7

    h-index

  2. Bioinformatics

    6 publications · 640 citations

    6

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 2.3K citations

    5

    h-index

  4. Nucleic Acids Research

    4 publications · 1.1K citations

    4

    h-index

  5. PLoS ONE

    2 publications · 92 citations

    2

    h-index

1–5