Structural Variation Resolution

Structural Variation Resolution is a computational method within genome finishing that identifies and characterizes large-scale genomic alterations, such as deletions, duplications, inversions, and translocations, by distinguishing them from sequencing artifacts and reference alignment errors to produce an accurate, contiguous representation of an organism's genome.

7

Publications

3.1K

Citations

84

Authors

24

Institutions

Publications per year

2017–2026

1

Authors

84

  1. EE
    Evan E. Eichler

    University of Washington, United States

    2 publications · 1.2K citations

    2

    h-index

  2. MD
    Michael D. McLellan

    Washington University in St. Louis, United States

    1 publications · 1.6K citations

    1

    h-index

  3. JW
    Jun Wang

    BGI Group (China), China

    2 publications · 266 citations

    1

    h-index

  4. HH
    Henne Holstege

    Amsterdam Neuroscience, Netherlands

    1 publications · 16 citations

    1

    h-index

  5. RK
    Rajinder Kaul

    University of Washington, United States

    1 publications · 1K citations

    1

    h-index

1–5 of 84

Venues

  1. Nature Genetics

    1 publications · 1K citations

    1

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 16 citations

    1

    h-index

  3. Nature Methods

    1 publications · 1.6K citations

    1

    h-index

  4. Bioinformatics

    1 publications · 221 citations

    1

    h-index

  5. Nature Biotechnology

    1 publications · 133 citations

    1

    h-index

1–5