Single-cell RNA-seq, cell hashing and spatial transcriptomics
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.
Dimension reduction (UMAP, t-SNE) plots
Differential expression table for clusters, cell types, or combination of both
Heat map
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.
United States
