QIAGEN IPA
Deeply curated single-cell RNA-seq data investigation using QIAGEN Omicsoft and Ingenuity Pathway Analysis
97 views
Single-cell RNA-sequencing (scRNA-seq) is widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapy (including immunotherapy) and more. Accordingly, a tremendous amount of scRNA-seq data has been deposited to public domains like GEO.
In this training, you will learn how to
· Locate public single-cell studies of interest using QIAGEN Omicsoft Single Cell Lands
· Study different cell types by dimension reduction plots (for example, t-SNE, UMAP)
· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)
· Identify key pathways and regulators from scRNA-seq data using QIAGEN Ingenuity Pathway Analysis (IPA)
Related videos
QIAGEN IPA
Analyze, compare and contextualize your biological data with QIAGEN IPA
Discover why QIAGEN Ingenuity Pathway Analysis (IPA) is more than just...
QIAGEN IPA
Interpreting your comparison analyses results in IPA
Learn how to view and interpret your comparison analyses results in IPA and...
QIAGEN IPA
Interpreting the Results of Your Phosphoproteomics Analysis in IPA
Learn how to view and interpret your Phosphoproteomics Analysis results in...
QIAGEN IPA
New user training: QIAGEN Ingenuity Pathway Analysis (IPA)
New user training: Large dataset analysis and knowledge base queries using...