Webinars and events

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.

See some of the many results/graphics you will be able to generate after this training.

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, including dimension reduction (UMAP, t-SNE) plots, differential expression table for clusters, cell types, or combination of both, heat maps, dot plots, violin plots
• Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).
• Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.