Training materials
Authors: Eija Korpelainen or Janick Mathys or Kaivan Kamali or The Carpentries or erxleben
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slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' 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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Tutorial
Genome Annotation - Genome Annotation
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Tutorial
ChIP-Seq data analysis - Identification of the binding sites of the Estrogen receptor
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Tutorial
Variant Analysis - Exome sequencing data analysis
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Tutorial
ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)
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Tutorial
Transcriptomics - Reference-based RNA-Seq data analysis