e-Learning
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ELIXIR TeSS
e-learning
Content Tracking and Verification in Galaxy Workflows with ISCC-SUM
•• IntermediateImaging Data handling Data management Data sharing Imaging Validation -
ELIXIR TeSS
e-learning
Execute a BiaPy workflow in Galaxy
•• IntermediateImaging 3D image Conversion Deep learning Image annotation Image segmentation Imaging Overlay Volume rendering -
ELIXIR TeSS
e-learning
GLEAM Image Learner - Validating Skin Lesion Classification on HAM10000
•• IntermediateStatistics and probability Deep Learning HAM10000 Dataset Image Classification Image Learner Skin Lesion Classification Statistics and machine learning -
ELIXIR TeSS
e-learning
Galaxy Tabular Learner - Building a Model using Chowell clinical data
•• IntermediateStatistics and probability LORIS Score Model Machine Learning Statistics and machine learning Tabular Learner -
ELIXIR TeSS
e-learning
Building and Annotating Metagenome-Assembled Genomes (MAGs) from Short Metagenomics Paired Reads
•• IntermediateMetagenomics Microbial ecology Sequence assembly Microbiome assembly binning metagenomics microgalaxy -
ELIXIR TeSS
e-learning
Remove contamination and host reads
• BeginnerMetagenomics Microbial ecology Microbiome host-removal metagenomics microgalaxy preprocessing -
ELIXIR TeSS
e-learning
nb2workflow: Generating Galaxy Tools From Jupyter Notebooks
• BeginnerSoftware engineering Development in Galaxy -
ELIXIR TeSS
e-learning
Uploading Data to Zenodo from Galaxy
• BeginnerFAIR Data, Workflows, and Research fair zenodo -
ELIXIR TeSS
e-learning
Integrating InvenioRDM-compatible Repositories with Galaxy
• BeginnerFAIR Data, Workflows, and Research InvenioRDM fair -
ELIXIR TeSS
e-learning
Best Practices for Citing Galaxy
• BeginnerIntroduction to Galaxy Analyses fair how-to-cite-galaxy