Partek Flow Software Training

Partek Flow Software Training

Online Event

Partek^® Flow^® software is available to City of Hope researchers. It provides a singular web-based, point-and-click environment for analyzing and visualizing high-dimensional multiomics sequencing data, making bioinformatics easily accessible to all researchers—no programming or command-line expertise required.  Join us for these two online sessions where a Partek scientist will demonstrate how to get started analyzing and visualizing Bulk RNA-Seq and Single Cell RNA-Seq data using the point-and-click user interface of Partek Flow. Sign-up for one or both sessions.

Note: You must register for each session separately. 

Agenda:

Introduction to Partek Flow and Bulk RNA-Seq Analysis

May 22, 2023, 10:00 – 11:30 a.m. Pacific Time
This training caters to beginning users of Partek Flow and covers new Partek features
Click to REGISTER for the May 22 webinar

During this session, a Partek scientist will introduce the Partek Flow interface, demonstrate how to perform basic RNA-Seq analysis and generate insightful visualizations. An RNA-Seq example data will be used to illustrate each analysis step starting with fastq files and concluding with biological interpretation.

• Data QA/QC
• Alignment
• Quantification and filtering
• Normalization
• Differential expression detection
• Biological interpretation
• Visualization (PCA, dotplot, volcano plot, hierarchical clustering etc.)

Partek Flow Single-Cell RNA-Seq Analysis & Visualization

This training caters to advanced users of Partek Flow and covers new Partek features
Click to REGISTER for the May 23 webinar

During this session, a Partek scientist will showcase the latest features and focus on demonstrating advanced techniques for single cell RNA-Seq analysis and visualization, including performing dimensionality reduction, classification of cell types, and differential analysis. A human PBMC scRNA-Seq sample data will be used to illustrate each of the analysis steps starting with a raw count matrix.