Structural Variation Mapping

Structural Variation Mapping is a genomic analysis method that identifies and characterizes large-scale alterations in genome architecture, such as deletions, duplications, inversions, and translocations, by differentiating them from smaller sequence variants and mapping their genomic positions.

75

Publications

13K

Citations

689

Authors

239

Institutions

Publications per year

2017–2026

32

Authors

689

  1. EE
    Evan E. Eichler

    University of Washington, United States

    6 publications · 2.4K citations

    6

    h-index

  2. PK
    Pui–Yan Kwok

    University of California, San Francisco, United States

    6 publications · 1.1K citations

    6

    h-index

  3. HC
    Han Cao

    BioNano Genomics (United States), United States

    5 publications · 1.5K citations

    5

    h-index

  4. MX
    Ming Xiao

    University of California, San Francisco, United States

    5 publications · 1.1K citations

    5

    h-index

  5. AH
    Alex Hastie

    BioNano Genomics (United States), United States

    5 publications · 1.5K citations

    5

    h-index

1–5 of 689

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 257 citations

    7

    h-index

  2. Nature

    5 publications · 2.7K citations

    5

    h-index

  3. Nature Genetics

    5 publications · 1.9K citations

    5

    h-index

  4. Genome Research

    GR · 4 publications · 629 citations

    4

    h-index

  5. Genome biology

    4 publications · 677 citations

    4

    h-index

1–5