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Single-cell RNA-seq data analysis and Interpretation
Slides from this training: https://qiagen.showpad.com/share/WAXz1vrHBsvArdeceWpcX
In this training, attendees will learn how to analyze and interpret their own scRNA-seq data using QIAGEN CLC Genomics Workbench and QIAGEN Ingenuity Pathway Analysis (IPA).
In this 90-minute training, attendees will learn how to:
• Start with fastq, cell matrix file and/or differential expression file for scRNA-seq data
• Per user preference, either automate or customize their analysis pipeline/workflow
• 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 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 highquality images or tabular format
01:32:18 minutes
Tags: clc genomics workbench, FAS Training, single-cell