Distributed management of scientific workflows for high-throughput plant phenotyping
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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Main Authors: | , , , , , |
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Format: | article biblioteca |
Language: | eng |
Subjects: | F30 - Génétique et amélioration des plantes, F62 - Physiologie végétale - Croissance et développement, U10 - Informatique, mathématiques et statistiques, |
Online Access: | http://agritrop.cirad.fr/587657/ http://agritrop.cirad.fr/587657/1/EN113-web.pdf |
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Summary: | 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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