Training materials
Authors: Brian Haas or Florian Christoph Sigloch or Kaivan Kamali or Praveen Kumar or erasche
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slides
Convolutional neural networks (CNN) Deep Learning - Part 3
• beginnerStatistics and probability Statistics and machine learning -
slides
Feedforward neural networks (FNN) Deep Learning - Part 1
• beginnerStatistics and probability Statistics and machine learning -
Informatics for RNA-Seq Analysis 2018 Module 6-Functional Annotation and Analysis of Transcripts
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Informatics for RNA-Seq Analysis 2018 Module 5-Genome Guided and Genome-free Transcriptome Assembly
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Bioinformatics for Cancer Genomics 2018 Module 9-Gene Fusion and Rearrangements
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Informatics for RNA-Seq Analysis 2017 Module 7-Functional Annotation and Analysis of Transcripts
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Tutorial
Galaxy Server administration - Ansible
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Informatics for RNA-Seq Analysis 2017 Module 6-Genome-free De Novo Transcriptome Assembly
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Tutorial
Data Manipulation - Collections: Rule Based Uploader
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Slides
Contributing to the Galaxy Training Material - Creating a new tutorial - Slides