Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping

With the implementation of novel automated, high throughput methods and facilities in the last years, plant phenomics has developed into a highly interdisciplinary research domain integrating biology, engineering and bioinformatics. Here we present a dataset of a non-invasive high throughput plant p...

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Detalhes bibliográficos
Publicado no:Sci Data
Main Authors: Arend, Daniel, Lange, Matthias, Pape, Jean-Michel, Weigelt-Fischer, Kathleen, Arana-Ceballos, Fernando, Mücke, Ingo, Klukas, Christian, Altmann, Thomas, Scholz, Uwe, Junker, Astrid
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group 2016
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Data Descriptor
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4986541/
https://ncbi.nlm.nih.gov/pubmed/27529152
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/sdata.2016.55
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