Repeat Instability Analysis

Repeat Instability Analysis is a computational method within the field of genomic sequence analysis that specifically quantifies and characterizes the variation in the number or structure of tandem repeat sequences across generations or cellular divisions, thereby distinguishing itself from general repeat annotation techniques by focusing on dynamic mutational changes associated with genetic disorders and evolutionary processes.

105

Publications

7.3K

Citations

638

Authors

266

Institutions

Publications per year

2017–2026

17

Authors

638

  1. DG
    Darren G. Monckton

    University of Glasgow, United Kingdom

    5 publications · 491 citations

    5

    h-index

  2. TA
    Tetsuo Ashizawa

    University of Florida, United States

    4 publications · 477 citations

    4

    h-index

  3. SI
    Sanjay I. Bidichandani

    University of Oklahoma Health Sciences Center, United States

    4 publications · 203 citations

    4

    h-index

  4. SL
    Stephanie L. Sherman

    Emory University, United States

    4 publications · 229 citations

    4

    h-index

  5. CK
    Christine Klein

    University of Lübeck, Germany

    3 publications · 155 citations

    3

    h-index

1–5 of 638

Venues

  1. Human Molecular Genetics

    20 publications · 2K citations

    20

    h-index

  2. Journal of Medical Genetics

    JMG · 5 publications · 564 citations

    5

    h-index

  3. Molecular and Cellular Biology

    MCB · 4 publications · 427 citations

    4

    h-index

  4. The EMBO Journal

    3 publications · 419 citations

    3

    h-index

  5. American Journal of Medical Genetics Part A

    3 publications · 165 citations

    3

    h-index

1–5