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Single-cell RNA-seq, cell hashing and spatial transcriptomics
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.
You will learn how to perform secondary analysis on your single cell RNA-seq data with the Workbench. 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 table for clusters, cell types, or combination of both o Heat map o Dot plots o 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.
01:23:08 minutes
Tags: clc, genomics