Data Driven Reseach for Everyone
Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.
- Accessible: Users can easily configure and run tools without the need to write code, all via an user-friendly web-based interface.
- Reproducible: Galaxy captures the full metadata required so that any user can not only understand but also reproduce the complete computational analysis.
- Transparent: Users can extract, share and publish analyses via interactive, web-based documents that can enhance analyses with user-supplied annotation.
- Scalable: Galaxy scales: it can run on a local computer, on a large cluster or on the cloud
FTP upload
For large files, FTP upload is also available on this server. Connect to port 23 with the same credentials you use to log into Galaxy. Once uploaded, open the Galaxy file upload menu, and click on the Choose FTP file button to import the files into your history.
As an example, a screenshot of the configuration settings for FileZilla can be found here
Training Materials
The Galaxy Community maintains a wide variety of training materials at https://training.galaxyproject.org
Topics include: variant analysis, transcriptomics, metagenomics, epigenetics, and many more!
Our team
This Galaxy is maintained by the Bioinformatics group of the department of Pathology.
For any questions regarding this Galaxy server, please contact us.
News
Oct 18, 2021
Training Infrastructure Feedback from Dr. Theodora Tsirka
Oct 13, 2021
BY-COVID: A new EU project for pandemic preparedness
Oct 12, 2021
UseGalaxy.eu Use Case: cellular specification, differentiation and morphogenesis of the mucociliary epithelium
Oct 11, 2021
UseGalaxy.eu Use Case: microRNAs in heart disease
Oct 1, 2021
Teaching bioinformatics through blood, mucus and tears
Sep 29, 2021
Got a minute? Take our survey about Galaxy for training and have your say!
Events
Oct 22, 2021
How Galaxy Imaging makes cloud-based image analysis possible
Oct 22, 2021
The evolution of a Galaxy project for running hybrid events
Oct 28, 2021
Galaxy Developer Roundtable: Image analysis in Galaxy - pain points and lessons learnt
Nov 1, 2021
Single-Cell RNAseq Training Course 2021
Nov 4, 2021
Genome Annotation & Galaxy Large Data Handling workshop
Nov 8, 2021 - Nov 12, 2021