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Analyze & Share

Do all your research in one place with our easy to use bioinformatics tools, image analyses, cloud services, and resources for reproducibility, automation, storing, and sharing.

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Build Your Skills

Access our educational workspaces, webinars, hands-on workshops, self-paced tutorials, and more to teach yourself and your students how to do open, collaborative science.

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Bring Your Own

Connect your own storage or compute power, build off our APIs, or even install your own version of CyVerse. We can help you find out what is right for your project and goals.

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Data Cycle

Demand More From Your Data

Explore how our services support each step of your research, whether it’s bulk uploading of raw files, analyzing and visualizing your results, sharing with collaborators, or assigning permanent identifiers so others can find and reuse your data and analyses.

Use CyVerse to easily manage all your data and research in one place. CyVerse staff can help you along the way. Create an account today.


The newest member of the CyVerse Science Analyst team is a mycologist turned microbiologist turned bioinformatician. He also enjoys cycling, hiking, and rock climbing.
CyVerse is working with a UArizona hydrologist and her multi-institutional team to harness machine learning and data science to aid U.S. water managers in decision-making with better information about how groundwater systems behave.

Upcoming Events

Webinar: Through the CyVerse User Portal and What You'll Find There

January 22, 2021 | Virtual

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

CyVerse's new User Portal has been revamped and refreshed to make it even easier to find and access the resources you need to join the data science revolution. Join CyVerse Portal developer Matt Bomhoff for a tour "through the portal and what you'll find there"!

Webinar: Got Variants? Do Downstream Analyses for PopGen or Evolution Studies

February 5, 2021 | Virtual

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

Learn about downstream PopGen and Evolutionary analyses, such as isolation by distance, population structure, genome wide association (GWAS) and inference on evolutionary relatedness, that you can do on your variant data.