Pangenome Graphs

Pangenome Graphs is a computational data structure that represents the collective genomic variation of a species as a graph, where nodes correspond to genomic sequences and edges capture their adjacencies, thereby distinguishing itself from linear reference models by encoding both conserved and variable regions across multiple individuals or strains.

49

Publications

7.2K

Citations

531

Authors

211

Institutions

Publications per year

2017–2026

49

Variants

Pangenomic Graphs

Authors

531

  1. EG
    Erik Garrison

    University of California, Santa Cruz, United States

    20 publications · 3.2K citations

    17

    h-index

  2. BP
    Benedict Paten

    University of California, Santa Cruz, United States

    13 publications · 2.3K citations

    12

    h-index

  3. AG
    Andrea Guarracino

    University of Tennessee Health Science Center, United States

    11 publications · 2.3K citations

    11

    h-index

  4. JM
    Jordan M. Eizenga

    University of California, Santa Cruz, United States

    12 publications · 2.3K citations

    11

    h-index

  5. AM
    Adam M. Novak

    University of California, Santa Cruz, United States

    12 publications · 2.3K citations

    11

    h-index

1–5 of 531

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 346 citations

    8

    h-index

  2. Bioinformatics

    6 publications · 444 citations

    6

    h-index

  3. Nature Genetics

    4 publications · 793 citations

    4

    h-index

  4. Genome biology

    4 publications · 955 citations

    4

    h-index

  5. Nature Communications

    3 publications · 306 citations

    3

    h-index

1–5