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Part I: Single-cell RNA sequencing data analysis using QIAGEN CLC Genomics Workbench
This two-part series will walk you through single-cell RNA sequencing (scRNA-seq) analysis starting with a matrix file or FASTQ files and ending with a deep understanding of key pathways, regulators and cell type signatures within your data.
This session is for part I of this training. In this session, you'll learn to use QIAGEN CLC Genomics Workbench to perform secondary analysis on your scRNA-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 scRNA-seq data
• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries. These include:
o UMAP, t-SNE plots
o Differential expression table for clusters, cell types, or a combination of both
o Heat map
o Dot plots
o Violin plots
Part II of this training takes place on Wednesday, Aug. 16. It focuses on interpreting scRNA-seq data using QIAGEN Ingenuity Pathway Analysis (IPA) to understand key pathways, regulators and cell type signatures within your data. Click here to watch Part II: https://tv.qiagenbioinformatics.com/video/87882212/part-ii-single-cell-rna-sequencing
01:31:02 minutes
Tags: clc genomics workbench, single-cell