Single Cell RNA Seq Analysis with Partek Flow

About this Class

The first and the most common single cell application is single cell RNA-Seq, which enables scientists to focus on the gene expression profiles of individual cells rather than on tissue averages. Knowledge of expression profiles facilitates detection and characterization of novel cell types and better insight into the biology of known types. This presentation will demonstrate how to use Partek Flow data visualizations and statistical analysis tools to find answers to biological questions. Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=mf92e0f73192a3f90badcd96bd399ec03   It is not necessary to have Partek Flow working on your laptop to attend this training, but if you would like to install it for future use:

• have a HPC account — see here for information about how to obtain a HPC account.
• have a /data directory with enough disk space to hold their Partek Flow files — please fill out this online form if you do not already have a /data directory or if you require more disk space.
• have a Partek Flow account created for them — please contact staff@hpc.nih.gov.

Once these steps have been accomplished, Partek Flow is available at https://partekflow.cit.nih.gov/flow.