Bayesian Reconciliation

Bayesian Reconciliation is a probabilistic framework for inferring the most likely evolutionary scenarios between host and symbiont phylogenies by integrating uncertainty in tree topologies and reconciliation events through Bayesian inference.

7

Publications

863

Citations

29

Authors

22

Institutions

Publications per year

2017–2026

0

Authors

29

  1. JL
    Jens Lagergren

    KTH Royal Institute of Technology, Sweden

    2 publications · 197 citations

    2

    h-index

  2. BS
    Bengt Sennblad

    Karolinska Institutet, Sweden

    2 publications · 197 citations

    2

    h-index

  3. CA
    Cécile Ané

    University of Wisconsin–Madison, United States

    1 publications · 465 citations

    1

    h-index

  4. MJ
    Miguel J. Bagajewicz

    University of Oklahoma, United States

    1 publications · 13 citations

    1

    h-index

  5. AW
    Alan W. Meerow

    National Clonal Germplasm Repository, United States

    1 publications · 125 citations

    1

    h-index

1–5 of 29

Venues

  1. Bioinformatics

    2 publications · 644 citations

    2

    h-index

  2. Journal of Family Business Strategy

    1 publications · 18 citations

    1

    h-index

  3. Systematic Biology

    1 publications · 45 citations

    1

    h-index

  4. Computers & Chemical Engineering

    1 publications · 13 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 18 citations

    1

    h-index

1–5