This event has passed.
Start time where you are: Your time zone couldn't be detected. Try reloading the page.
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. Here you can register for Part II: https://qiagen.zoom.us/webinar/register/4716889476421/WN_IA23wGOhQMa_dSc6QJiTkw
