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Related Experiment Video

Updated: May 7, 2026

Scalable 96-well Plate Based iPSC Culture and Production Using a Robotic Liquid Handling System

Scalable 96-well Plate Based iPSC Culture and Production Using a Robotic Liquid Handling System

Published on: May 14, 2015

Galaxy Helm chart: a standardized method for deploying production Galaxy servers.

Nuwan Goonasekera¹, Alexandru Mahmoud², Keith Suderman³

¹Australian BioCommons, University of Melbourne, Melbourne, VIC 3052, Australia.

Bioinformatics (Oxford, England)

|August 6, 2024

Summary

This summary is machine-generated.

A new Galaxy Helm chart simplifies deploying production-grade Galaxy for data-intensive sciences. This method offers rapid, scalable, and maintainable installations on Kubernetes, reducing administrative burden.

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Area of Science:

Bioinformatics
Computational Biology
Data Science

Background:

Galaxy is a popular open-source framework for data-intensive sciences.
Production-grade Galaxy installations are complex and require significant administration.
There is a need for rapid, reproducible, and maintainable Galaxy deployment.

Purpose of the Study:

To describe the Galaxy Helm chart for simplified Galaxy deployment.
To provide a rapid and reproducible method for installing production-grade Galaxy.
To enable high-availability Galaxy instances with minimal maintenance.

Main Methods:

Developed a Galaxy Helm chart to package all components of a production-grade Galaxy installation.
Designed the chart for deployment on Kubernetes clusters.
Encapsulated supporting software services and implemented best practices for running Galaxy.

Main Results:

The Galaxy Helm chart is the most rapid method for deploying scalable, production-grade Galaxy instances.
The chart is highly configurable, allowing for customization of dependent services.
Notable applications include automated deployments on AnVIL and as an AWS-recommended solution.

Conclusions:

The Galaxy Helm chart significantly simplifies the deployment and maintenance of Galaxy for data-intensive sciences.
This solution addresses the need for rapid, reproducible, and high-availability Galaxy installations.
The chart is available for use in various scientific computing environments.