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Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities., , , , , , , , , and 4 other author(s). Future Generation Comp. Syst., (2017)AutoWIG: Automatic Generation of Python Bindings for C++ Libraries., and . CoRR, (2017)OpenAlea: scientific workflows combining data analysis and simulation., , , and . SSDBM, page 11:1-11:6. ACM, (2015)An Architecture for the Integration of Different Functional and Structural Plant Models., , , , and . CoRR, (2018)AutoWIG: automatic generation of python bindings for C++ libraries., and . PeerJ Computer Science, (2018)VersionClimber: Version Upgrades Without Tears., , , , , and . Computing in Science and Engineering, 21 (5): 87-93 (2019)Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud., , , , , and . DEXA (2), volume 11707 of Lecture Notes in Computer Science, page 452-466. Springer, (2019)Architecture de Dataflow pour des systèmes modulaires et génériques de simulation de plante. (Dataflow architecture for modular and generic plant simulation systems).. University of Montpellier, France, (2019)Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping., , , , , and . ERCIM News, (2018)Publishing scientific software matters., , and . J. Comput. Science, 4 (5): 311-312 (2013)