Training materials
Authors: András Aszódi or Cyril Pommier or Janick Mathys or Kaivan Kamali or Sergio Martínez Cuesta
and Resource type: Training materials or hands-on tutorial
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hands-on tutorial
R introduction
• beginnerR script Software engineering data visualisation programming -
hands-on tutorial
Bulk RNASeq analysis
•• intermediateTranscriptomics Gene expression Differential gene expression profiling Expression analysis Data analysis NGS RNASeq transcriptomics -
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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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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Training materials
Plant Phenotyping Data managment (MIAPPE)
• beginnerPhenomics Plant biology Data management Annotation Formatting Plant Phenotyping Data-format data sharing -
Training materials
Introduction to GitHub
• beginnerGitHub Reproducibility -
Training materials
Beginners introduction to Git and GitHub
• beginnerGit GitHub control version Reproducibility -
Training materials
Summer School 2018 TrainMalta: Epigenomics. Introduction to Unix and R
• beginnerUnix R-programming
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