Training materials
Resource type: hands-on tutorial
and Contributors: Björn Grüning or Christophe Antoniewski or Collins Assisi or Pavankumar Videm or UC Davis Bioinformatics Core Training Page or Wendi Bacon or Wolfgang Maier or rstudio::conf(2022)
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hands-on tutorial
Pathway analysis with the MINERVA Platform
•• intermediateTranscriptomics bulk cyoa rna-seq viz -
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
Scanpy Parameter Iterator
• beginnerSingle Cell -
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
Removing the effects of the cell cycle
• beginner10x Single Cell -
hands-on tutorial
Hands-on for 'Creating the bulk RNA-seq dataset for deconvolution' tutorial