Bioinformatics Training and Education Program

Partek Flow Integration of bulk RNA sequencing and ATAC sequencing data

Partek Flow Integration of bulk RNA sequencing and ATAC sequencing data

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

Learning Level: Beginner

To Know
  • Where: Online Webinar
  • Presented By: Joe Wu (BTEP), Xiaowen Wang (Partek)

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 address bulk RNA and ATAC sequencing analysis using Partek Flow. Participants will learn how to integrate these two assays to gain insights on the epigenetic regulation of gene expression. Topics covered include:

  • Import of fastq files
  • Alignment of fastq files to reference genome
  • Detect peaks for ATAC sequencing data
  • Quantification for RNA sequencing data
  • Compare peak regions and gene expression
  • Integrate RNA sequencing and ATAC sequencing results


Meeting link:
Meeting number:
2304 390 4110

Join by video system
You can also dial and enter your meeting number.

Join by phone
1-650-479-3207 Call-in number (US/Canada)
Access code: 2304 390 4110
Host PIN: 2784