False Recombination Estimation

False Recombination Estimation is a computational method in foreground selection that distinguishes spurious from genuine recombination events by quantifying the likelihood of false positives arising from sequence alignment artifacts or phylogenetic uncertainty.

4

Publications

231

Citations

14

Authors

8

Institutions

Publications per year

2017–2026

0

Authors

14

  1. BK
    Bette Korber

    Los Alamos National Laboratory, United States

    2 publications · 189 citations

    2

    h-index

  2. AS
    Anne-Kathrin Schultz

    University of Göttingen, Germany

    2 publications · 189 citations

    2

    h-index

  3. IB
    Ingo Bulla

    Universität Greifswald, Germany

    2 publications · 189 citations

    2

    h-index

  4. MS
    Mario Stanke

    Universität Greifswald, Germany

    2 publications · 189 citations

    2

    h-index

  5. TL
    Thomas Leitner

    Los Alamos National Laboratory, United States

    2 publications · 189 citations

    2

    h-index

1–5 of 14

Venues

  1. Nucleic Acids Research

    2 publications · 189 citations

    2

    h-index

  2. Bioinformatics

    1 publications · 20 citations

    1

    h-index

  3. PLoS ONE

    1 publications · 22 citations

    1

    h-index

1–3