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BioMEMS: Forging New Collaborations Between Biologists and Engineers
Published on: November 1, 2007
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The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update.
Enis Afgan1, Dannon Baker1, Bérénice Batut2
1Department of Biology, Johns Hopkins University, Baltimore, MD, USA.
Nucleic Acids Research
|May 24, 2018
Summary
Galaxy is a web-based platform for biomedical data analysis, enhancing accessibility, reproducibility, and communication. Recent improvements support larger datasets and over 5500 tools, with growing community engagement.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Science
Background:
- Galaxy is a widely used web-based platform for analyzing large biomedical datasets.
- It addresses key challenges in data-driven biomedical science: accessibility, reproducibility, and communication of analyses.
- The platform has been in development since 2005.
Purpose of the Study:
- To report on substantial improvements made to the Galaxy platform over the last two years.
- To highlight the growth and contributions of the Galaxy community.
- To showcase the platform's enhanced capabilities for large-scale biomedical data analysis.
Main Methods:
- The Galaxy team and its open-source community focused on improving the core framework, user interface, tools, and training materials.
- Development efforts enabled the analysis of tens of thousands of datasets.
- Community-driven initiatives led to the creation of numerous high-quality tutorials.
Main Results:
- Significant enhancements to Galaxy's core framework and user interface allow for the analysis of tens of thousands of datasets.
- Over 5500 tools are now available through the Galaxy ToolShed.
- A substantial increase in Galaxy public servers, contributing developers, and users of the main Galaxy server was observed.
Conclusions:
- Galaxy continues to evolve as a powerful and accessible platform for biomedical data analysis.
- Community involvement is integral to Galaxy's ongoing development and success.
- The platform is well-positioned to support the growing demands of data-driven biomedical research.
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