Phenotype Querying

Phenotype Querying is a computational method within biological ontology that enables the retrieval and analysis of phenotypic data based on semantic similarity and structured annotations in phenotype ontologies.

43

Publications

2.8K

Citations

343

Authors

116

Institutions

Publications per year

2017–2026

7

Authors

343

  1. ES
    Erik Segerdell

    Oregon Health & Science University, United States

    4 publications · 536 citations

    4

    h-index

  2. GV
    Georgios V. Gkoutos

    University of Birmingham, United Kingdom

    4 publications · 149 citations

    4

    h-index

  3. MA
    Midori A. Harris

    University of Cambridge, United Kingdom

    3 publications · 537 citations

    3

    h-index

  4. DO
    David Osumi-Sutherland

    European Bioinformatics Institute, United Kingdom

    3 publications · 376 citations

    3

    h-index

  5. SG
    Simon Greenaway

    Mary Lyon Centre at MRC Harwell, United Kingdom

    3 publications · 75 citations

    3

    h-index

1–5 of 343

Venues

  1. Nucleic Acids Research

    7 publications · 1.2K citations

    7

    h-index

  2. Journal of Biomedical Semantics

    JBMS · 5 publications · 184 citations

    5

    h-index

  3. Bioinformatics

    5 publications · 128 citations

    5

    h-index

  4. Comparative and Functional Genomics

    CFG · 3 publications · 89 citations

    3

    h-index

  5. BMC Bioinformatics

    3 publications · 75 citations

    3

    h-index

1–5