Training materials
Contributors: Alireza Khanteymoori or Anika Erxleben or Dan Bolser or Derek Wright or Martin Hubalek or Mehmet Tekman or Michael Krone or Portada: Enrique Sahagún or Prof. Tom Freeman
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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
Formation of the Super-Structures on the Inactive X
• beginnerEpigenomics ChIP-seq Epigenetics -
hands-on tutorial
Identification of the binding sites of the Estrogen receptor
• beginnerEpigenomics ChIP-seq Epigenetics work-in-progress -
hands-on tutorial
Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)
• beginnerEpigenomics ChIP-seq Epigenetics -
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