Phylogenetic Inference Models

Phylogenetic Inference Models is a computational framework that specifies the probabilistic rules and evolutionary assumptions used to reconstruct microbial phylogenetic relationships from molecular sequence data.

265

Publications

39.6K

Citations

967

Authors

498

Institutions

Publications per year

2017–2026

94

Authors

967

  1. TS
    Tanja Stadler

    ETH Zurich, Switzerland

    7 publications · 5.5K citations

    7

    h-index

  2. AS
    Alexandros Stamatakis

    Heidelberg Institute for Theoretical Studies, Germany

    7 publications · 3.5K citations

    7

    h-index

  3. AJ
    Alexei J. Drummond

    University of Auckland, New Zealand

    7 publications · 5.5K citations

    7

    h-index

  4. MA
    Marc A. Suchard

    University of California, Los Angeles, United States

    6 publications · 5.7K citations

    6

    h-index

  5. TG
    Timothy G. Vaughan

    ETH Zurich, Switzerland

    5 publications · 5K citations

    5

    h-index

1–5 of 967

Venues

  1. Bioinformatics

    18 publications · 5.3K citations

    18

    h-index

  2. Systematic Biology

    21 publications · 2.9K citations

    17

    h-index

  3. Molecular Biology and Evolution

    MBE · 17 publications · 1.2K citations

    15

    h-index

  4. BMC Evolutionary Biology

    10 publications · 1.3K citations

    10

    h-index

  5. PLoS Computational Biology

    10 publications · 5.6K citations

    10

    h-index

1–5