Training materials
Contributors: Mark Beaumont or Dr. Stephen David Laycock or David Castillo or Kaivan Kamali
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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 '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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slides
Slides for 'Convolutional neural networks (CNN) Deep Learning - Part 3' tutorial
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slides
Slides for 'Feedforward neural networks (FNN) Deep Learning - Part 1' tutorial
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Documentation, Exercise, Handout, Scripts
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
•• intermediatePopulation Genomics Phylogenetics -
Documentation, Exercise, Handout, Scripts
3DAROC18 - 3C-based data analysis and 3D reconstruction of chromatin folding (2018)
•• intermediateHi-C
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