Projects & Teaching Materials
Workshops
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Introduction to single-cell RNA-seq
Hands-on workshop covering experimental design, QC, clustering, and cell type annotation using Seurat in R/RStudio, starting from count matrices. |
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Introduction to Spatial Transcriptomics
Hands-on introduction to spatial transcriptomics data analysis of Visium HD experiments. |
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Pseudobulk and Related Approaches for scRNA-seq Analysis
Workshop on pseudobulk methods (from single-cell RNA-seq data) for experimental designs with biological replicates. Therefore sample variation can be accounted for with DESeq2 and proportional analyses. |
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Introduction to Python
Practical workshop from zero Python experience to working with real-world data. Includes topics such as: data structures, data manipulation with pandas, and visualization with Matplotlib and Seaborn. |
Workflows
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Co-expression Workflow for scRNA
Calculate co-expression scores for zero-inflated single-cell datasets. |
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Template for QC of scRNA
Jupyter notebook template to run initial QC on scRNA datasets using scanpy. |
Data Visualization
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Tidy Tuesday
Weekly data visualization practice using R and ggplot2. |