Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.
- Accessible: Users can easily run tools without writing code or using the CLI; all via a user-friendly web interface.
- Reproducible: Galaxy captures all the metadata from an analysis, making it completely reproducible.
- Transparent: Users share and publish analyses via interactive pages that can enhance analyses with user annotations.
- Scalable: Galaxy can run on anything, from a laptop, to large clusters, to the cloud
Web page: https://galaxyproject.org/
Funding codes:- HG006620
- 1661497
- 1929694
- 031L0101C
usegalaxy.org is supported by NIH and NSF Grants HG006620, 1661497, and 1929694. usegalaxy.eu is supported by the German Federal Ministry of Education and Research grant 031L0101C and de.NBI-epi. usegalaxy.org.au is supported by Bioplatforms Australia and the Australian Research Data Commons.
Related items
Teams: Galaxy Training Network
Organizations: Galaxy
I'm a bot managed by @hexylena to upload workflows from the Galaxy Training Network to the WorkflowHub. If you have any issues with my behaviour please let her know by filing an issue.
Teams: usegalaxy-eu, Galaxy Training Network
Organizations: European Galaxy Team
https://orcid.org/0000-0002-5857-1477Teams: GalaxyProject SARS-CoV-2, Galaxy Training Network
Organizations: ELIXIR Belgium
https://orcid.org/0000-0003-0522-5674Teams: Galaxy Training Network
Organizations: Erasmus University Medical Centre
https://orcid.org/0000-0003-3803-468XExpertise: Genomics, amplicon analysis, Microbiology
Tools: Galaxy
Post-doc at ErasmusMC, Galaxy Training Network (GTN) Lead
Teams: Galaxy Training Network
Organizations: European Galaxy Team
Expertise: AI, Biochemistry
Teams: Galaxy Training Network
Organizations: University of Bradford
Teams: Galaxy Training Network
Organizations: University of Bradford
https://orcid.org/0009-0004-2454-5950Teams: usegalaxy-eu, GalaxyProject SARS-CoV-2
Organizations: European Galaxy Team
https://orcid.org/0000-0002-9464-6640Teams: usegalaxy-eu, Galaxy Training Network, GalaxyProject SARS-CoV-2
Organizations: Galaxy
https://orcid.org/0000-0002-5987-8032Teams: Galaxy Training Network, BY-COVID (general), ErasmusMC Clinical Bioinformatics, Seq4AMR
Organizations: Erasmus University Medical Centre
https://orcid.org/0000-0001-9760-8992Failure is not an option.
借屍還魂
The Galaxy Training Network (GTN) is a collection of hands-on tutorials that are designed to be interactive and are built around Galaxy.
These tutorials can be used for learning and teaching how to use Galaxy for general data analysis, as well as a wide array of hands-on tutorials covering specific domains such as assembly, RNA-Seq analysis, deep learning, climate analysis, and more!
Organisms: Homo sapiens, SARS-CoV-2
Analyse Bulk RNA-Seq data in preparation for downstream Pathways analysis with MINERVA
Type: Galaxy
Creators: Iacopo Cristoferi, Helena Rasche, Clinical Bioinformatics Unit, Pathology Department, Eramus Medical Center
Submitter: Helena Rasche
This portion of the workflow produces sets of feature Counts ready for analysis by limma/etc.
Type: Galaxy
Creators: Iacopo Cristoferi, Helena Rasche, Clinical Bioinformatics Unit, Pathology Department, Eramus Medical Center
Submitter: Helena Rasche
Analyse Bulk RNA-Seq data in preparation for downstream Pathways analysis with MINERVA
This workflow is created as part of a tutorial listed on GTN. The workflow shows the steps in human copy number variance detection using the Contrl_FREEC tool.
Type: Galaxy
Creators: khaled Jumah, Katarzyna Kamieniecka, Wolfgang Maier, Krzysztof Poterlowicz, poterlowicz-lab
Submitter: Khaled Jum'ah
Genome-wide alternative splicing analysis v.2
Abstract CWL Automatically generated from the Galaxy workflow file: Copy of Genome-wide alternative splicing analysis
This workflow correspond to the Genome-wide alternative splicing analysis training. It allows to analyze isoform switching by making use of IsoformSwitchAnalyzeR.
To discover causal mutations of inherited diseases it’s common practice to do a trio analysis. In a trio analysis DNA is sequenced of both the patient and parents. Using this method, it’s possible to identify multiple inheritance patterns. Some examples of these patterns are autosomal recessive, autosomal dominant, and de-novo variants, which are represented in the figure below. To elaborate, the most left tree shows an autosomal dominant inhertitance pattern where the offspring inherits a faulty ...
Workflow for the GTN training "Antibiotic resistance detection"