ncibtep@nih.gov

Bioinformatics Training and Education Program

Partek Flow Basic single cell RNA sequencing data analysis

Partek Flow Basic single cell RNA sequencing data analysis

 When: Sep. 13th, 2023 11:00 am - 12:30 pm

Learning Level: Beginner

Event Recording
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To Know

Where:
Online Webinar
Organizer:
BTEP
Presented By:
Joe Wu (BTEP), Xiaowen Wang (Partek)
This class has ended.

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.

In this training session, participants will learn to analyze a single sample human PBMC single cell RNA sequencing dataset using Partek Flow. Topics covered include:
  • Data QA/QC
  • Filter cells and genes
  • Normalization
  • Cell type classification
  • Differential analysis
  • Pathway analysis
  • Visualization (PCA, UMAP, tSNE, dot plot, volcano plot, hierarchical clustering etc.)

Meeting link:
https://cbiit.webex.com/cbiit/j.php?MTID=m9e70b8721a03fb2cb0108ee1adccfe0d

Meeting number:
2306 886 0137
Password:
CHp4Frih*82

Join by video system
Dial 23068860137@cbiit.webex.com
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1-650-479-3207 Call-in number (US/Canada)
Access code: 2306 886 0137
Host PIN: 2784

Global call-in numbers
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