Training materials
Contributors: Dr. Bernard de Bono or Dr. Jim Procter or Gildas Le Corguillé or Hana Pergl Sustkova or Kaivan Kamali or Michael Krone or Prof. Tom Freeman or Stephen Taylor
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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
Mass spectrometry: LC-MS preprocessing with XCMS
•• intermediateMetabolomics -
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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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
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slides
Slides for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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