Training materials
Contributors: Helena Rasche
and Keywords: ChIP-seq or Clinical data or Shell or computer-science or jupyter-notebook or training
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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
Data visualisation Olympics - Visualization in R
• beginnerSoftware engineering Foundations of Data Science R cyoa jupyter-notebook rmarkdown-notebook -
hands-on tutorial
FAIR Galaxy Training Material
• beginnerContributing to the Galaxy Training Material fair gtn training -
hands-on tutorial
RO-Crate in Python
• beginnerFAIR Data, Workflows, and Research jupyter-notebook ro-crate -
hands-on tutorial
Inferring single cell trajectories with Monocle3 (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Python - Coding Style
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Inferring single cell trajectories with Scanpy (Python)
• beginnerTranscriptomics 10x Python Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Scripting Galaxy using the API and BioBlend
• beginnerSoftware engineering Development in Galaxy jupyter-notebook -
hands-on tutorial
Training Infrastructure as a Service (TIaaS)
• beginnerGalaxy Server administration ansible git-gat jobs training -
hands-on tutorial
Python - Subprocess
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook