Training materials
Difficulty level: Not specified
and Contributors: Gildas Le Corguillé or Kaivan Kamali or Mark Beaumont or Mikko Rautiainen or Rami Krispin
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RamiKrispin/Introduction-to-Docker
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RamiKrispin/vscode-r
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RamiKrispin/vscode-python
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RamiKrispin/shinylive-r
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hands-on tutorial
Hands-on for 'De novo transcriptome assembly, annotation, and differential expression analysis' tutorial
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hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS analysis' tutorial
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slides
Slides for 'Tool development and integration into Galaxy' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
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