Overrepresented Sequence Detection

Overrepresented Sequence Detection is a quality control procedure in sequence analysis that identifies sequences appearing at abnormally high frequencies relative to expected distribution, thereby distinguishing potential technical artifacts or contaminants from biologically valid signals.

5

Publications

670

Citations

24

Authors

10

Institutions

Publications per year

2017–2026

0

Authors

24

  1. SK
    Spencer K. Lickteig

    Kansas State University, United States

    1 publications · 240 citations

    1

    h-index

  2. AJ
    Ari Jumpponen

    Kansas State University, United States

    1 publications · 240 citations

    1

    h-index

  3. YM
    Yves Moreau

    KU Leuven, Belgium

    1 publications · 345 citations

    1

    h-index

  4. WH
    Wing Hung Wong

    Stanford University, United States

    1 publications · 46 citations

    1

    h-index

  5. GF
    Georges F. Carle

    Centre National de la Recherche Scientifique, France

    1 publications · 29 citations

    1

    h-index

1–5 of 24

Venues

  1. Genome Research

    GR · 1 publications · 10 citations

    1

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 46 citations

    1

    h-index

  3. Journal of Computational Biology

    1 publications · 345 citations

    1

    h-index

  4. Fungal ecology

    1 publications · 240 citations

    1

    h-index

  5. Cytogenetics and Cell Genetics

    1 publications · 29 citations

    1

    h-index

1–5