Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue ERCIM News Année : 2018

Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping

Résumé

High-throughput phenotyping platforms allow acquisition of quantitative data on thousands of plants required for genetic analyses in well-controlled environmental conditions. However, analysing these massive datasets and reproducing computational experiments require the use of new computational infrastructure and algorithms to scale.
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Dates et versions

hal-01948568 , version 1 (10-12-2018)

Identifiants

  • HAL Id : hal-01948568 , version 1
  • PRODINRA : 430157
  • WOS : 000430463800024

Citer

Christophe Pradal, Sarah Cohen-Boulakia, Gaëtan Heidsieck, Esther Pacitti, Francois Tardieu, et al.. Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping. ERCIM News, 2018, Smart Farming, 113, pp.36-37. ⟨hal-01948568⟩
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