Course Overview
Partek Flow is a start-to-finish solution for analyzing high dimensional multi-omics sequencing data. It is a point-and-click software and is suitable for those who wish to avoid the steep learning curve associated with analyzing sequencing data through command line and/or code. At NIH, Partek Flow is hosted on the Biowulf high performance computing cluster (HPC). Researchers interact with the software through a web browser using a URL supplied by Biowulf once a Biowulf and Partek Flow account has been set up. This enables investigators to take advantage of the compute power offered by HPC while using a graphical user interface to construct a sequencing data analysis workflow. Partek Flow enables the creation of publication quality visualizations.
This in-person and hands-on training will introduce participants to single cell RNA sequencing (move this to beginning) analysis on Partek Flow using a single human PBMC sample count matrix. Participants will also learn how to access and methods for transferring data to the Partek Flow server at NIH. Skills acquired from this class are applicable to analyzing other types of sequencing data in Partek Flow.
Date: March 5, 2024 Time: 2 - 4 PM Location: Building 35A Room 620/630
Learning Objectives
After this class, participants will
- Become familiar analyzing single cell RNA sequencing data using Partek Flow including
- Importing of data into a Partek Flow project
- QA/QC, filtering, and normalizing of single cell RNA data
- Performing cell type classification based on gene expression
- Performing differential expression and pathway analysis
- Producing visualization (PCA, UMAP, tSNE, dotplot, volcano plot, hierarchical clustering etc.)
- Know how to access Partek Flow
- Know how to sign onto the NIH Partek Flow server
- Be able to transfer data from NCI CCR Sequencing Facility Data Management Environment to their Biowulf Partek Flow folder