Training materials
Difficulty level: Not specified
and Keywords: FAIR data or Python or Shell or interactive-tools
and Target audience: PhD candidates or Students
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hands-on tutorial
Hands-on for 'Visualize EBV cube data with Panoply netCDF viewer' tutorial
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hands-on tutorial
Hands-on for 'Inferring Trajectories using Scanpy (Python)' tutorial
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hands-on tutorial
Hands-on for 'RNA Seq Counts to Viz in R' tutorial
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hands-on tutorial
Hands-on for 'A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy' tutorial
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hands-on tutorial
Hands-on for 'Text-mining with the SimText toolset' tutorial
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hands-on tutorial
Hands-on for 'Pangeo Notebook in Galaxy - Introduction to Xarray' tutorial
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hands-on tutorial
Hands-on for 'Functionally Assembled Terrestrial Ecosystem Simulator (FATES) with Galaxy Climate JupyterLab' tutorial
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hands-on tutorial
Hands-on for 'Visualize Climate data with Panoply netCDF viewer' tutorial
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hands-on tutorial
Hands-on for 'Functionally Assembled Terrestrial Ecosystem Simulator (FATES)' tutorial
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hands-on tutorial
Hands-on for 'Galaxy Interactive Tools' tutorial
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