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Webinar: Writing and Sharing Computational Analyses in Jupyter Notebooks

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Following on the heels of his team's recent PLoS publication "Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks," Peter Rose of the San Diego Supercomputer Center will give an overview of how to organize notebooks, set up a reproducible and reusable compute environment, and share and explain your research using CyVerse resources. Peter will address the unique opportunities and challenges that arise when using computational notebooks, especially Jupyter Notebooks as available in CyVerse, for reproducible science research.
CyVerse provides powerful infrastructure for computational research involving large datasets and complex analyses. Using CyVerse, teams can overcome scaling and complexity challenges to tackle questions that previously were unapproachable.
**Get Started!**
**Make CyVerse work for you!**
Use hundreds of bioinformatics apps and manage data in a simple web interface
**Create a custom cloud-based scientific analysis platform or use a ready-made one for your area of scientific interest.**
**Securely store data for active analyses or sharing with your collaborators.**
**Access discoverable and reusable datasets with metadata features and functions.**
**Exchange, explore, and analyze biological images and their metadata.**
**Follow us!**
Still have questions?
This material is based upon work supported by the National Science Foundation under Grant Nos. DBI-0735191, DBI-1265383, and DBI-1743442.
CyVerse provides powerful infrastructure for computational research involving large datasets and complex analyses. Using CyVerse, teams can overcome scaling and complexity challenges to tackle questions that previously were unapproachable.
**Get Started!**
**Make CyVerse work for you!**
Use hundreds of bioinformatics apps and manage data in a simple web interface
**Create a custom cloud-based scientific analysis platform or use a ready-made one for your area of scientific interest.**
**Securely store data for active analyses or sharing with your collaborators.**
**Access discoverable and reusable datasets with metadata features and functions.**
**Exchange, explore, and analyze biological images and their metadata.**
**Follow us!**
Still have questions?
This material is based upon work supported by the National Science Foundation under Grant Nos. DBI-0735191, DBI-1265383, and DBI-1743442.