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
Parents
66
A text-mining analysis of the human phenome
Marc A. van Driel, Jorn Bruggeman, Gert Vriend et al. · European Journal of Human Genetics · 2006 · 669 citations · Full text
PlantCV v2: Image analysis software for high-throughput plant phenotyping
Malia Gehan, Noah Fahlgren, Arash Abbasi et al. · PeerJ · 2017 · 394 citations · Full text
On the Cophenetic Correlation Coefficient
James S. Farris · Systematic Zoology · 1969 · 249 citations
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414
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172
Jackson Laboratory
Bar Harbor, United States
9 h-index
65 publications
4.9K citations
Mary Lyon Centre at MRC Harwell
Oxford, United Kingdom
7 h-index
31 publications
1.9K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
4 h-index
13 publications
376 citations

European Bioinformatics Institute
Cambridge, United Kingdom
4 h-index
17 publications
453 citations
Donald Danforth Plant Science Center
St Louis, United States
3 h-index
39 publications
5.5K citations
Arkansas Biosciences Institute
Jonesboro, United States
3 h-index
6 publications
844 citations
University of Nebraska–Lincoln
Lincoln, United States
3 h-index
3 publications
422 citations

Monsanto (United States)
Creve Coeur, United States
3 h-index
5 publications
450 citations
1–8 of 172
9 publications · 867 citations
9
h-index
4 publications · 141 citations
4
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AJHG · 3 publications · 239 citations
3
h-index
3 publications · 126 citations
3
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3 publications · 83 citations
3
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1–5