QIAGEN CLC Genomics

Single Cell RNA-Seq, Cell Hashing, and Spatial Transcriptomics

336 views
March 26, 2024
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 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.

Related videos

QIAGEN CLC Genomics

De novo assembly, BLAST and genome finishing using QIAGEN CLC Genomics Workbench

1,872 views September 01, 2022

This webinar will introduce users to the tools available for short reads...

QIAGEN CLC Genomics

Long-read sequencing analysis in the QIAGEN CLC Genomics Workbench

1,726 views March 21, 2022

This tutorial is an introduction to working with the tools in the Long Read...

QIAGEN CLC Genomics

16S/18S/ITS sequencing analysis using CLC Genomics Workbench

1,608 views January 25, 2023

QIAGEN CLC Microbial Genomics Module provides tools and workflows for a broad...

QIAGEN CLC Genomics

RNA-seq data analysis and interpretation using QIAGEN CLC and QIAGEN IPA

1,082 views October 18, 2023

This 120-minute training will teach you how to easily analyze and interpret...