Binary Character Supertrees

Binary Character Supertrees is a supertree method that constructs a phylogenetic supertree by encoding input trees as binary character matrices and applying maximum parsimony to infer the most compact evolutionary hypothesis that encompasses the topological information of constituent trees.

2

Publications

44

Citations

6

Authors

5

Institutions

Publications per year

2017–2026

0

Authors

6

  1. AA
    Alberto Apostolico

    Purdue University West Lafayette, United States

    1 publications · 25 citations

    1

    h-index

  2. SM
    S. Muthukrishnan

    Rutgers, The State University of New Jersey, United States

    1 publications · 25 citations

    1

    h-index

  3. ZG
    Zvi Galil

    Tel Aviv University, Israel

    1 publications · 25 citations

    1

    h-index

  4. MF
    Martı́n Farach-Colton

    Rutgers, The State University of New Jersey, United States

    1 publications · 25 citations

    1

    h-index

  5. DB
    David Bryant

    Hammersmith Hospital, United Kingdom

    1 publications · 19 citations

    1

    h-index

1–5 of 6

Venues

  1. Communications of the ACM

    1 publications · 25 citations

    1

    h-index

  2. Journal of Computational Biology

    1 publications · 19 citations

    1

    h-index

1–2