Wednesday, September 18, 2024, 1-4 p.m.
Online
Register for Single Cell RNA-Seq Data Analysis using Partek Flow

Learn about conducting single cell RNASeq analysis with multiple samples using HSLS-licensed Partek Flow software. This workshop is for experimental biologists seeking to learn how to analyze the single cell data generated through experiments or retrieved from a publication or a repository such as GEO. The software covered in the workshop operates through a user-friendly, point-and-click graphical user interface, so neither computer programming experience nor familiarity with the command-line interface is required.

Upon completing this class, you should be able to:
  • import and analyze Raw data (FASTQ files)
  • import and analyze single cell count matrix data
  • perform quality checks (QC) on single-cell data
  • filter and normalize the data
  • generate PCA and t-SNE, UMAP plots to visualize data
  • identify cell populations, and biomarkers in the multisample data
  • compute differential gene expressions between two cell populations and/or samples
Level: Novice
Prerequisites: To participate in the workshop, please register for Partek Flow software. We also encourage you to review the scRNA seq data analysis with a single sample video. This video tutorial will acquaint you with the PartekFlow software interface and basic steps for analyzing scRNA-seq data, better preparing you for this real-world multisample scRNA-seq data analysis workshop.
Recording status: This class will be recorded and shared with attendees.
Class Materials: Class materials will be shared with attendees.