Training materials
Target audience: Students or computational scientists
and Contributors: @posit-pbc or Anatole Chessel or Martin Strauch or Mateusz Kuzak or Matthias Fahrner or Patricia Palagi or Pavankumar Videm or Prof. Tom Freeman
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hands-on tutorial
Filter, plot, and explore single cell RNA-seq data with Seurat
• beginner10x Single Cell paper-replication -
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
Inferring single cell trajectories with Scanpy
• beginner10x Single Cell 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
Pre-processing of 10X Single-Cell ATAC-seq Datasets
• beginner10x Single Cell epigenetics -
hands-on tutorial
Inferring single cell trajectories with Monocle3 (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
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
Analysis of plant scRNA-Seq Data with Scanpy
• beginnerTranscriptomics Single Cell paper-replication plants -
hands-on tutorial
Small Non-coding RNA Clustering using BlockClust
• beginnerTranscriptomics
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