Insertion Detection

Insertion Detection is a variant detection method in genome sequencing informatics that specifically identifies the presence and location of nucleotide sequences inserted into a reference genome, distinguishing it from other variant types by its focus on novel sequence additions absent in the reference.

37

Publications

2.2K

Citations

151

Authors

76

Institutions

Publications per year

2017–2026

16

Authors

151

  1. JD
    James D. Reynolds

    Duke Medical Center, United States

    3 publications · 61 citations

    3

    h-index

  2. MS
    Matthew S. Pihlblad

    Children's Hospital of Pittsburgh, United States

    3 publications · 61 citations

    3

    h-index

  3. JL
    Jean‐Alexandre Long

    Université Grenoble Alpes, France

    2 publications · 137 citations

    2

    h-index

  4. RK
    Robert Kofler

    University of Veterinary Medicine Vienna, Austria

    2 publications · 137 citations

    2

    h-index

  5. TJ
    Tao Jiang

    University of Cambridge, United Kingdom

    2 publications · 43 citations

    2

    h-index

1–5 of 151

Venues

  1. Bioinformatics

    4 publications · 155 citations

    4

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 41 citations

    3

    h-index

  3. Mobile DNA

    2 publications · 101 citations

    2

    h-index

  4. Nucleic Acids Research

    2 publications · 373 citations

    2

    h-index

  5. American Orthoptic Journal

    2 publications · 31 citations

    2

    h-index

1–5