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!
Space: Galaxy
SEEK ID: https://workflowhub.eu/projects/12
Public web page: https://training.galaxyproject.org
Organisms: Homo sapiens, Sars-cov-2
WorkflowHub PALs: No PALs for this Team
Team start date: 1st Sep 2017
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, 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
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 ...
Teams: Galaxy Training Network
Web page: https://galaxyproject.org/
Second part of the ecoregionalization
This workflow allows you to create an ecoregionalization map from occurrences and environmental data using a boosted regression trees model for predictions.
The workflow is intended for processing occurrence data, which should include latitude, longitude and species presence or absence. You can use example test data available with the workflow, highlighting a use case centered on the Dumont d'Urville sea region and benthic invertebrates. The primary goal of ...
Part 1 of ecoregionalization workflow
This workflow allows you to create an ecoregionalization map from occurrences and environmental data using a boosted regression trees model for predictions.
The workflow is intended for processing occurrence data, which should include latitude, longitude and species presence or absence. You can use example test data available with the workflow, highlighting a use case centered on the Dumont d'Urville sea region and benthic invertebrates. The primary goal of ...
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"