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Galaxy on the Cloud

Researchers' compute requirements vary widely over time and formerly required either buying and maintaining compute resources (with most of it idle, most of the time), or reserving time and a fixed amount of compute resources on institutional clusters.

The cloud provides another option for this situation that can be cost-effective and efficient.  Cloud infrastructures are elastic and dynamic.  You only allocate resource when you need them, and you are able to dynamically scale up and down your allocated resources as your needs change over time.  Furthermore, compute clouds are maintained by outside providers - you don't need to install your own hardware, or need to have access to a research compute cluster at your institution.

Cloud infrastructures are just one of the many ways that Galaxy is available.

Galaxy CloudMan


CloudMan is a software package that abstracts the interface to cloud infrastructure, allowing users to take advantage of the power of cloud infrastructure without having to learn much of the underlying details of any particular infrastructure.  CloudMan supports elastic, dynamic resource scaling and works with Galaxy out of the box.  CloudMan works with multiple cloud infrastructures including Amazon Web Services, OpenStack, and OpenNebula.

See the CloudMan page for more.

Galaxy Standalone image(s)

Some cloud providers have not yet been integrated with CloudMan. Instead, standalone Galaxy images have been built that come pre-configured with the same configurations as the CloudMan-backed images but without the option to scale into a virtual cluster. Images on the NSF Jetstream cloud and Google Compute Engine cloud exist.

Globus Genomics

Globus Genomics

Globus Genomics is an integrated solution for Next Gen Sequencing analysis utilizing technologies in big data management and big data analysis. Specifically, Globus Genomics combines big data management capabilities of Globus Online with flexible, intuitive workflow/pipeline creation capabilities of the Galaxy framework and high throughput computing capabilities on Amazon Web Services through the use of HTCondor technology. Using Globus Genomics, researchers can easily transfer large amounts of sequence data from various sequencing centers and analyze the data either interactively or using one of the pre-defined best practice analytical pipelines with the familiar Galaxy interface. Globus Genomics is a non-profit service offering delivered and maintained by the Globus team at the Computation Institute, University of Chicago. If you are interested in using Globus Genomics or learning more about service offering, please visit us at Globus Genomics.

Amazon Web Services

Commercial Cloud Solutions


Both CloudMan and Globus Genomics use Amazon Web Services.  CloudMan can also run on any cloud provider that supports the OpenStack or OpenNebula cloud management protocols.  This covers the vast majority of commercial cloud providers.

You can also set up your own Galaxy server using any cloud provider, but not CloudMan.  In this situation you handle the Galaxy installation and the cloud aspects of the install.

Galaxy Specific Commercial Cloud Solutions

Finally, these vendors also provide support for running Galaxy on cloud infrastructures:



From GenomeCloud:

GenomeCloud started with combining the idea of cloud computing with bioinformatics as an integrated solution for data storage and sharing, database management, upgrading computing and analysis tools, and security.

GenomeCloud is designed to aid biologists and researchers to perform bioinformatics tasks easier, as well as support small-sized laboratories to perform researches without hurdles.

GenomeCloud is composed of g-Analysis, g-Cluster, g-Storage, and g-Insight services, where accounts creation and management, monitoring systems, billing, and service management are offered via KT's proven superior cloud-based web system, providing convenience to the researchers and other users.

Users can easily use Galaxy using g-Cluster based on cloud computing.