Training materials
Contributors: Prof. Tom Freeman or Martin Krzywinski or Andrea Argentini or Patricia Palagi or John "Scooter" Morris or Dr. Roland Schwarz or Anil S. Thanki or Geert Bonamie or Gildas Le Corguillé or Kaivan Kamali
-
hands-on tutorial
Hands-on for 'De novo transcriptome assembly, annotation, and differential expression analysis' tutorial
-
hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
-
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
-
slides
Slides for 'Tool development and integration into Galaxy' tutorial
-
hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
-
slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
-
hands-on tutorial
Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial
-
hands-on tutorial
Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial
-
slides
Slides for 'Image classification in Galaxy with fruit 360 dataset' tutorial