Training materials
Resource type: hands-on tutorial
and Contributors: Anthony Bretaudeau or Daniela Brites or Dr. Paul Shaw or Jaime Morris or Michael Ball or Nicola Soranzo or Sandra Orchard or Vicky Schneider or Wendi Bacon
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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
Scanpy Parameter Iterator
• beginnerSingle Cell -
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
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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
Inferring single cell trajectories with Monocle3
• beginnerTranscriptomics 10x Single Cell paper-replication -
hands-on tutorial
Long non-coding RNAs (lncRNAs) annotation with FEELnc
•• intermediateGenome Annotation eukaryote -
hands-on tutorial
Hands-on for 'Genome Assembly Quality Control' tutorial
•• intermediateassembly quality control -
hands-on tutorial
Refining Genome Annotations with Apollo (eukaryotes)
•• intermediateGenome Annotation apollo2 cyoa eukaryote gmod jbrowse1