About this Class

Partek Flow is your 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 setup allows users 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 online class is not hands-on. Biowulf and Partek Flow accounts are not required to attend. Participants will be presented with instructions for obtaining access to Partek Flow at the beginning of class.

This training session will use a multi-sample single cell RNA sequencing dataset to demonstrate how to perform cell type classification and comparison of gene expression among treatment groups in Partek Flow. Further, participants will learn how to integrate protein information derived from CITE-sequencing with RNA information to gain gene expression insight from a multi-omics perspective. Spatial transcriptomics will also be discussed.

Meeting link:
https://cbiit.webex.com/cbiit/j.php?MTID=m9bb2d96e49e23ac11b6cd8ccc7f7a5fc
 
Meeting number:
2302 232 0954
Password:
iJNTWXh*368

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