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Single-cell RNA-seq data analysis and interpretation – Nov. 3

Date: 2022/11/03 Duration: 01:30:00 Presented by:

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

 

Click here to register.