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Explore how to analyze and interpret your own single-cell RNA-seq (scRNA-seq) data using QIAGEN CLC Genomics Workbench and QIAGEN Ingenuity Pathway Analysis (IPA).
In this 90-minute training, you’ll learn how to:
• Start with FASTQ, cell matrix file and/or differential expression file for scRNA-seq data
• Either automate or customize your analysis pipeline/workflow, depending on your needs
• Easily generate visualizations such as t-SNE, UMAP, heatmap, differential expression table, dot plots and more
• Upload differential expression data to QIAGEN IPA (either from QIAGEN CLC or from another source)
• Perform pathway analysis on scRNA-seq data and compare different clusters to discover novel biological mechanisms, cell type-specific biomarkers and key regulators/targets
• Export results in the form of high-quality images or tabular format
Slides from a previous similar training: https://qiagen.showpad.com/share/WAXz1vrHBsvArdeceWpcX
