Training materials
Target audience: Students
and Contributors: Björn Grüning or David Christiany or Dr. Roland Schwarz or Eija Korpelainen or Mehmet Tekman or Oliver Davis or Prof. David Willaim Burt
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hands-on tutorial
Pathway analysis with the MINERVA Platform
•• intermediateTranscriptomics bulk cyoa rna-seq viz -
hands-on tutorial
Generating a single cell matrix using Alevin and combining datasets (bash + R)
• beginner10x Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Filter, plot, and explore single cell RNA-seq data with Seurat (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Hands-on for 'Creating the bulk RNA-seq dataset for deconvolution' tutorial
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hands-on tutorial
Hands-on for 'Creating the single-cell RNA-seq reference dataset for deconvolution' tutorial
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hands-on tutorial
Exome sequencing data analysis for diagnosing a genetic disease
• beginnerGenetic variation Variant Analysis -
hands-on tutorial
Hands-on for 'Trajectory Analysis using Python (Jupyter Notebook) in Galaxy' tutorial
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hands-on tutorial
Pre-processing of 10X Single-Cell RNA Datasets
• beginnerTranscriptomics 10x Single Cell -
hands-on tutorial
Pre-processing of Single-Cell RNA Data
• beginnerTranscriptomics Single Cell -
hands-on tutorial
Clustering 3K PBMCs with Scanpy
• beginnerTranscriptomics 10x Single Cell