Tutorials
Single-cell RNA-seq data analysis and interpretation
1,826 views
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
Speaker: Araceli Cuellar, Field Application Specialist, QIAGEN Digital Insights
Related videos
QIAGEN IPA
Making your RNAseq, Microarray, Proteomics, and Metabolomics Datasets Work for you with IPA
In this training, our Sr. Field Application Scientist covers: Core Analysis:...
QIAGEN IPA
Dipping Your Toes in the Water - IPA for Beginners Virtual Workshop.mp4
Introduction to IPA Learning about Genes/Disease and Network Construction...
Tutorials
Easy and fast somatic variant calling, interpretation and reporting (multiple languages available)
This live demonstration will introduce the QIAGEN CLC Genomics Workbench and...
Tutorials
IPA Tips and Tricks
IPA Tips and Tricks In this talk, Lynne Mullen, Ph.D. Senior Scientist,...