Single cell RNA sequencing analysis with Partek Flow: in-person training

About this Class

This in-person, hands-on training will introduce participants to single cell RNA sequencing analysis using Partek Flow, a point-and-click software for analyzing high dimensional multi-omics sequencing data. 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. 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. At the end of this class, participants will know how to import single cell data to their projects and perform cell type classification, obtain differentially expressed genes, identify molecular pathways as well as create visualizations such as PCA, UMAP, and t-SNE. Skills learn in this class can be applied to analysis of other high throughput sequencing types using Partek Flow. Partek will provide temporary/training access to Partek Flow, so bring a laptop to follow along!

NOTE: This is an in-person class only and takes place in NIH Building 35 (John Edward Porter Neuroscience Research Center) Room 620/630. There is no option to attend virtually, and this class will not be recorded.