Past Events

August 2-4, 2021 | Virtual

Learn to build customized containers to make your workflows more collaborative and streamlined and join the fleet that's sailing towards the vast horizon of reproducible science.

July 26-28, 2021 | Virtual

Come with basic command line skills and leave with a running container.

July 22, 2021 | Virtual

1:00PM – 3:00PM US Central Daylight Time

To learn how to leverage remote-sensing data through two phenomic analysis pipelines.

June 28–July 1, 2021 | Virtual

9:30AM US Eastern Daylight Time

This multi-part workshop will offer participants a variety of ways to learn about R in the context of the CyVerse cyberinfrastructure.

June 24, 2021 | Virtual

1:00PM – 3:00PM US Central Daylight Time

Learn the basics of genome-wide association studies (GWAS) and get hands-on experience with analysis of real-world data.

May 20, 2021 | Virtual

1:00PM – 3:00PM U.S. Central Daylight Time

Learn the basics of single nucleotide polymorphisms (SNP) calling & exploring ways to work with a SNP dataset.

May 19, 2021 | Online

8:30am – 5:00pm Central Time

A presentation on using CyVerse for single cell data analysis at the Nebraska Center for Integrated Biomolecular Communication workshop.

ray enke emoji slide

April 30, 2021 | Virtual

10 am Pacific | 11 am Mountain | 12 noon Central | 1 pm Eastern (DST)

Join us for this fun demonstration of a classroom-tested app that is effective for educators to teach, and students to learn, some core elements of NGS Quality Control (QC) analysis using CyVerse.

April 22, 2021 | Virtual

6:00PM PDT

Groundwater is by far the largest un-frozen freshwater resource on the planet. Yet, it is often overlooked, overused, or misunderstood. In this talk, we will explore how the water beneath our feet supports ecosystems and human systems alike and the role that it has to play in our future.

MLFlow_logo_image

April 16, 2021 | Virtual

10 am Pacific | 11 am Mountain | 12 noon Central | 1 pm Eastern (DST)

Join us for a demonstration of MLFlow, a platform-agnostic and collaboration-friendly machine learning lifecycle manager that enables seamless teamwork where each member's individual progress can be tracked and reproduced.