Phenotyping Data Analysis

Phenotyping Data Analysis is a computational and statistical methodology, belonging to the broader class of data analysis techniques, that specifically enables the extraction, interpretation, and quantification of phenotypic traits from high-throughput biological data to support downstream biological discovery and decision-making.

66

Publications

4.8K

Citations

414

Authors

172

Institutions

Publications per year

2017–2026

35

Authors

414

  1. MA
    Molly A. Bogue

    Jackson Laboratory, United States

    8 publications · 801 citations

    8

    h-index

  2. SC
    Stephen C. Grubb

    Jackson Laboratory, United States

    7 publications · 770 citations

    7

    h-index

  3. AM
    Ann‐Marie Mallon

    Mary Lyon Centre at MRC Harwell, United Kingdom

    5 publications · 228 citations

    5

    h-index

  4. CJ
    Carol J. Bult

    Jackson Laboratory, United States

    4 publications · 517 citations

    4

    h-index

  5. CL
    César Lizárraga

    Donald Danforth Plant Science Center, United States

    3 publications · 422 citations

    3

    h-index

1–5 of 414

Venues

  1. Nucleic Acids Research

    9 publications · 867 citations

    9

    h-index

  2. PLoS ONE

    4 publications · 141 citations

    4

    h-index

  3. The American Journal of Human Genetics

    AJHG · 3 publications · 239 citations

    3

    h-index

  4. Bioinformatics

    3 publications · 126 citations

    3

    h-index

  5. Plant Methods

    3 publications · 83 citations

    3

    h-index

1–5