ncibtep@nih.gov

Bioinformatics Training and Education Program

CITE-SEQ DATA ANALYSIS IN PARTEK FLOW

CITE-SEQ DATA ANALYSIS IN PARTEK FLOW

 When: Jul. 14th, 2021 10:30 am - 12:00 pm

To Know

Where:
Online Webinar
Organizer:
NIH Training Library
This class has ended.

About this Class

Attendees will learn how to use Partek Flow to identify cell subtypes using both gene and protein expression in a peripheral blood mononuclear cell (PBMC) sample using Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-Seq) technology. CITE-Seq is a multimodal single cell phenotyping method. CITE-Seq data analysis starts with importing a count matrix file, followed by QC and filtering data. Clustering analysis and dimension reduction techniques are then used to visualize and identify subtypes of cells. Differential expression detection among different subtypes will be demonstrated, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Basic knowledge of Partek Flow is required. Register