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Introduction to Genomics Data Types

This series of workshops is designed for undergraduate researchers and students who are new to working with genomic data. Some programming experience is recommended — see Introduction to Data Science to get started. Each module builds on the previous one as you explore common genomics data types and the tools used to analyze them.

  • Differential Gene Expression (Bulk RNAseq)

    Learn how to go from raw RNA-seq count data to a list of differentially expressed genes. Covers the structure of count matrices, normalization, DESeq2, and how to visualize results with volcano plots and heatmaps.

    ~90 minutes  ·  Available now

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  • Single Cell RNAseq

    Explore gene expression one cell at a time. Learn the structure of single-cell data, how to perform quality control and clustering, and how to identify cell types from marker genes and UMAP embeddings.

    ~90 minutes  ·  Available now

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  • Spatial Transcriptomics

    Combine gene expression with tissue context. Learn how spatial transcriptomics data is structured, how to visualize gene expression overlaid on tissue sections, and how spatial patterns connect to tissue architecture.

    ~90 minutes  ·  Coming July 2026

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  • Computational Workflows

    Learn how bioinformatics pipelines connect raw sequencing reads to analysis-ready outputs. Covers workflow concepts, running nf-core pipelines, and moving between local, cloud, and HPC environments.

    ~90 minutes  ·  Coming July 2026

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Who This Series Is For

These workshops are designed for researchers who have completed the Introduction to Data Science series (or have equivalent R and data analysis experience) and are ready to work with real genomics data. If you can load and plot a dataset in R but have never analyzed RNA-seq output — this series is for you.

How to Use This Series

Work through the modules in order — each one builds on skills from the previous. The course pages stay available after in-person sessions so you can revisit any section, finish exercises at your own pace, and bring any questions you may have to the CGDS Core office hours.

Questions? Contact the CGDS Core — CGDS@mdibl.org