Single Cell Multi-omics Data Analysis in Partek Flow – Visualization of CRISPR Data

Single Cell Multi-omics Data Analysis in Partek Flow – Visualization of CRISPR Data

Single Cell Multi-omics Data Analysis in Partek Flow – Visualization of CRISPR Data

ECCITE-Seq is a variation of Cellular Indexing of Transcriptomes and Epitopes (CITE-Seq) and cell hashing, which can also capture single guide RNA (sgRNA) sequences to perform CRISPR screening. Using ECCITE-Seq multi-omics data we will introduce to you our new data visualization tool, the Data Viewer. With the help of the Data Viewer, we will show you how to overlay cell hashing, sgRNA, mRNA, and protein information collected from single cells for comprehensive biological interpretation.

What you will learn:
• How to import different types of multi-omics data
• How to handle cell hashing data
• How to use the Data Viewer
• How to merge different tiers of biological information

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Kathi GoscheSingle Cell Multi-omics Data Analysis in Partek Flow – Visualization of CRISPR Data