Assembly-based Variant Detection

Assembly-Based Variant Detection is a computational method in structural variant analysis that identifies genomic alterations by reconstructing and comparing de novo assembled sequences to a reference genome, distinguishing itself from alignment-based approaches through its reliance on full sequence reconstruction rather than direct read mapping.

84

Publications

11.5K

Citations

575

Authors

255

Institutions

Publications per year

2017–2026

46

Authors

575

  1. FJ
    Fritz J. Sedlazeck

    Baylor College of Medicine, United States

    4 publications · 2.2K citations

    4

    h-index

  2. XZ
    Xin Zhou

    Stanford University, United States

    4 publications · 93 citations

    4

    h-index

  3. RA
    Richard A. Gibbs

    Baylor College of Medicine, United States

    4 publications · 465 citations

    4

    h-index

  4. AC
    Adam C. English

    Baylor College of Medicine, United States

    4 publications · 617 citations

    4

    h-index

  5. PA
    Peter A. Audano

    University of Washington, United States

    3 publications · 251 citations

    3

    h-index

1–5 of 575

Venues

  1. Bioinformatics

    16 publications · 1.4K citations

    15

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 204 citations

    8

    h-index

  3. Nature Communications

    6 publications · 469 citations

    6

    h-index

  4. BMC Genomics

    6 publications · 275 citations

    6

    h-index

  5. Genome Research

    GR · 5 publications · 2.1K citations

    5

    h-index

1–5