Training materials
Licence: Creative Commons Attribution 4.0 International
and Contributors: Emily Angiolini or Jamie Edwards or Kaivan Kamali or Michael Ball or Ms. Sejal Modha or Pavankumar Videm or Prof. Tom Freeman
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hands-on tutorial
Hands-on for 'Pre-processing of 10X Single-Cell ATAC-seq Datasets' tutorial
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hands-on tutorial
RNA-RNA interactome data analysis
• beginnerTranscriptomics -
hands-on tutorial
Hands-on for 'Whole transcriptome analysis of Arabidopsis thaliana' tutorial
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hands-on tutorial
Hands-on for 'Analysis of plant scRNA-Seq Data with Scanpy' tutorial
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hands-on tutorial
Small Non-coding RNA Clustering using BlockClust
• beginnerTranscriptomics -
hands-on tutorial
Hands-on for 'Reference-based RNA-Seq data analysis' tutorial
• beginnertranscriptomics bulk rna-seq collections drosophila QC cyoa -
hands-on tutorial
Image classification in Galaxy with fruit 360 dataset
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Deep Learning (Part 2) - Recurrent neural networks (RNN)
• beginnerStatistics and probability Statistics and machine learning -
slides
Recurrent neural networks (RNN) Deep Learning - Part 2
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Deep Learning (Part 1) - Feedforward neural networks (FNN)
• beginnerStatistics and probability Statistics and machine learning
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