Sequence-based Lineage Reconstruction

Sequence-Based Lineage Reconstruction is a methodological framework in computational biology that infers evolutionary or developmental relationships among biological entities by analyzing and comparing their molecular sequences, distinguished from other lineage reconstruction approaches by its exclusive reliance on sequence data as the primary source of phylogenetic or ontogenetic signal.

146

Publications

13.8K

Citations

864

Authors

407

Institutions

Publications per year

2017–2026

51

Authors

864

  1. MA
    Mark A. Ragan

    The University of Queensland, Australia

    3 publications · 166 citations

    3

    h-index

  2. SV
    Scott V. Edwards

    Harvard University, United States

    3 publications · 370 citations

    3

    h-index

  3. MZ
    Matteo Zignol

    World Health Organization, Switzerland

    2 publications · 178 citations

    2

    h-index

  4. JE
    John E. McCormack

    Occidental College, United States

    2 publications · 1.7K citations

    2

    h-index

  5. DS
    Daniel S. Rokhsar

    University of California, Berkeley, United States

    2 publications · 57 citations

    2

    h-index

1–5 of 864

Venues

  1. Molecular Biology and Evolution

    MBE · 11 publications · 1.1K citations

    11

    h-index

  2. Molecular Phylogenetics and Evolution

    10 publications · 561 citations

    10

    h-index

  3. Genome Biology and Evolution

    GBE · 9 publications · 788 citations

    9

    h-index

  4. Systematic Biology

    6 publications · 2.2K citations

    6

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 6 publications · 173 citations

    6

    h-index

1–5