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A slide illustrating some of the many result types/graphics you will be able to generate after this training.
https://qiagen.showpad.com/share/jYTCDPNfz1SdIMPQPSPYS
Description: In this training, you will learn how to analyze and interpret your own single-cell RNA-seq data using QIAGEN CLC Genomics Workbench, starting with either FASTQ or matrix files.
Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single-cell RNA-seq data. Specifically, you will learn how to:
• Import your raw FASTQ or processed cell-matrix files
• Use pre-configured but customizable pipelines/workflows for single-cell RNA-seq data
• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries
o Dimension reduction (UMAP, t-SNE) plots
o Differential expression tables for clusters, cell types, or a combination of both
o Heat map
o Dot plots
o Violin plots
• Learn how to use “Create Cell Annotations from Hashtags” for cell hashing, as with CITE-seq
• Dive into spatial transcriptomic analysis, the latest feature in the single-cell RNA-seq module
