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Novel discoveries from public single-cell RNA-seq data – Jul 29

Date: 2021/07/29 Duration: 01:30:00 Presented by:

In this 90-minute webinar you will learn how to:
• Easily search and locate scRNA-seq projects of interest within QIAGEN OmicSoft Lands
• Determine gene expression signatures associated with cell types of interest
• Easily search and interpret pathway analyses of pre-analyzed single-cell studies within QIAGEN IPA
• Quickly identify and interpret key biological pathways and regulatory networks within QIAGEN IPA
• Compare the biological findings for a cell type to other single-cell and bulk gene expression studies
• Export results in graphical and tabular formats of interest

Click here to register.