Phenotype Data Integration
Phenotype Data Integration is a computational and methodological framework that enables the harmonization and synthesis of phenotypic data across heterogeneous sources by aligning biological, experimental, and contextual representations to support consistent interpretation and cross-study analysis.
197
Publications
21.5K
Citations
1.6K
Authors
554
Institutions
Publications per year
2017–2026
60
Parents
197
KBase: The United States Department of Energy Systems Biology Knowledgebase
Adam P. Arkin, Robert W. Cottingham, Christopher S. Henry et al. · Nature Biotechnology · 2018 · 1.7K citations · Full text
The MRC IEU OpenGWAS data infrastructure
Ben Elsworth, Matthew Lyon, Tessa Alexander et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2020 · 957 citations · Full text
1–5 of 197
1.6K
14
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14
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13
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12
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12
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554
Jackson Laboratory
Bar Harbor, United States
25 h-index
113 publications
17.7K citations

European Bioinformatics Institute
Cambridge, United Kingdom
19 h-index
140 publications
18.1K citations
University of Cambridge
Cambridge, United Kingdom
18 h-index
37 publications
4K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
14 h-index
75 publications
53.6K citations
University of Oregon
Eugene, United States
13 h-index
38 publications
8.9K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
10 h-index
50 publications
13.4K citations
Wellcome Trust
London, United Kingdom
9 h-index
51 publications
2.4K citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
9 h-index
22 publications
4.8K citations
1–8 of 554
30 publications · 5.7K citations
29
h-index
19 publications · 778 citations
17
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9 publications · 320 citations
9
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9 publications · 537 citations
9
h-index
8 publications · 645 citations
8
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