Training materials
Resource type: hands-on tutorial
and Contributors: Andrea Argentini or Anil S. Thanki or Dr. Roland Schwarz or Geert Bonamie or Gildas Le Corguillé or John "Scooter" Morris or Kaivan Kamali or Martin Krzywinski or Patricia Palagi or Prof. Tom Freeman
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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 preprocessing with XCMS' tutorial
•• intermediateMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS analysis' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial