Galaxy is a web-based platform for data-intensive computational research.
It is designed to make scientific analysis accessible, reproducible, and transparent, letting users run analyses through a browser, track complete analysis provenance, and share datasets, workflows, and histories with others. The project is widely used for data analysis in fields including bioinformatics and related research domains, and can be run on public Galaxy servers or installed on your own infrastructure.
This is free and open source software.
Key Features
- Provides a web-based platform for data-intensive computational research.
- Lets users run analyses through an intuitive browser interface without requiring command-line use.
- Tracks the complete provenance of analyses for reproducibility and verification.
- Supports sharing datasets, workflows, and complete analysis histories through the web.
- Allows users to launch curated workflows or build their own workflows.
- Offers access to a large collection of analysis tools.
- Supports data upload from local systems, pasted links, and public archives.
- Can be used on public Galaxy servers or deployed on your own infrastructure.
- Provides extensive documentation, training materials, and tutorials for users, developers, and administrators.
Website: github.com/galaxyproject/galaxy
Support:
Developer: Galaxy Contributors
License: MIT License
Galaxy is written in Python. Learn Python with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
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