Integrating R in a Distributed Scientific Workflow via a Jupyter-Based Environment-Reference-Cited by-同舟云学术

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Integrating R in a Distributed Scientific Workflow via a Jupyter-Based Environment

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on e-Science (e-Science)
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Author:

Marra Mariantonietta La¹,Henkemans Diederik Blanson²,Titocci Jessica³,Koulouzis Spiros²,Rosati Ilaria³,Zhao Zhiming²

Affiliation:

1. University of Salento,Department of Biological and Environmental Sciences and Technologies,Lecce,Italy

2. Multiscale Networked System, University of Amsterdam,Amsterdam,The Netherlands

3. Institute of Research on Terrestrial Ecosystems, National Research Council,Lecce,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10254737/10254662/10254945.pdf?arnumber=10254945

Reference5 articles.

1. Why Jupyter is data scientists’ computational notebook of choice

2. Scaling Notebooks as Re-configurable Cloud Workflows

3. Notebook-as-a-vre (naavre): from private notebooks to a collaborative cloud virtual research environment;zhao;ArXiv Preprint,2021

4. The R Language: An Engine for Bioinformatics and Data Science

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