Event-based Reconciliation

Event-Based Reconciliation is a methodological framework in computational phylogenetics that explains discrepancies between two evolutionary trees by inferring a set of discrete evolutionary events—such as duplication, transfer, and loss—mapping one tree onto another through minimal or probabilistic event cost optimization.

7

Publications

234

Citations

32

Authors

22

Institutions

Publications per year

2017–2026

2

Authors

32

  1. PC
    Pierluigi Crescenzi

    University of Florence, Italy

    2 publications · 87 citations

    2

    h-index

  2. BS
    Blerina Sinaimeri

    Université Claude Bernard Lyon 1, France

    2 publications · 87 citations

    2

    h-index

  3. CB
    Christian Baudet

    Université Claude Bernard Lyon 1, France

    2 publications · 87 citations

    2

    h-index

  4. NW
    Nicolas Wieseke

    Leipzig University, Germany

    2 publications · 76 citations

    2

    h-index

  5. MH
    Maribel Hernández-Rosales

    Universidad Nacional Autónoma de México, Mexico

    1 publications · 55 citations

    1

    h-index

1–5 of 32

Venues

  1. 2

    h-index

  2. BMC Bioinformatics

    2 publications · 96 citations

    2

    h-index

  3. Systematic Biology

    1 publications · 45 citations

    1

    h-index

  4. Knowledge-Based Systems

    1 publications · 18 citations

    1

    h-index

  5. Algorithms for Molecular Biology

    AMB · 1 publications · 42 citations

    1

    h-index

1–5