Phenotyping Pipeline Development is a methodological framework within high-throughput phenotyping that systematically integrates data acquisition, processing, and analysis components to enable automated, scalable, and reproducible characterization of phenotypic traits.
47
Publications
4K
Citations
430
Authors
134
Institutions
Publications per year
2017–2026
35
Parents
Publications
47
High-throughput discovery of novel developmental phenotypes
Mary E. Dickinson, Ann M. Flenniken, Xiao Ji et al. · Nature · 2016 · 1.3K citations · Full text
MVApp—Multivariate Analysis Application for Streamlined Data Analysis and Curation
Magdalena Julkowska, Stephanie Saadé, Gaurav Agarwal et al. · PLANT PHYSIOLOGY · 2019 · 110 citations · Full text
Computing, Biology, Visualization +16
1–5 of 47
Authors
430
- AM
7
h-index
- MH
5
h-index
- HP
4
h-index
- SD
4
h-index
- HW
4
h-index
1–5 of 430
Institutions
134
Mary Lyon Centre at MRC Harwell
Oxford, United Kingdom
9 h-index
66 publications
25.7K citations
Helmholtz Zentrum München
Munich, Germany
5 h-index
44 publications
13.8K citations
European Bioinformatics Institute
Cambridge, United Kingdom
5 h-index
23 publications
8.2K citations
Wellcome Sanger Institute
Cambridge, United Kingdom
5 h-index
30 publications
18.1K citations
Medical Research Council
London, United Kingdom
5 h-index
42 publications
24.5K citations
Institut Clinique de la Souris
Illkirch-Graffenstaden, France
5 h-index
42 publications
12K citations
Hospital for Sick Children
Toronto, Canada
4 h-index
16 publications
9.4K citations
Wellcome Trust
London, United Kingdom
3 h-index
17 publications
8.1K citations
1–8 of 134
Venues
- Plant Methods
5 publications · 116 citations
5
h-index
- PLANT PHYSIOLOGY
4 publications · 301 citations
4
h-index
- PLoS ONE
4 publications · 151 citations
4
h-index
- Plant Phenomics
1 publications · 27 citations
2
h-index
- Plant Biotechnology Journal
2 publications · 88 citations
2
h-index
1–5