To learn more about bulk and single cell RNA-Seq analysis using Partek Flow, see:
https://www.partek.com/partek-flow-basic-components/
To view previous Partek Flow webinars, click on the link below:
https://www.partek.com/webinars/
To get an NCI Partek Flow account, all users of Partek Flow must:
- 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.
How to Use the New & Improved Partek Flow Data Viewer (watch this video)
- You will be instructed to register on the Partek website to access this training
Multiomics Analysis
Educational Resources for Researchers
To help researchers of all skill levels perform bioinformatics, we’ve compiled these educational resources. You will find resources about:
- Single cell analysis
- Bulk RNA-Seq analysis
- How one researcher advanced bone cancer research
Single-cell Analysis eGuide
Read how bulk and single cell data differ and how to analyze and visualize single cell data
Single-cell RNA analysis finds possible genetic drivers of bone cancer
Read how researches at the University of Pittsburg are using Illumina Partek™ Flow™ software to identify genes that contribute to osteosarcoma metastasis
How to streamline bulk RNA-Seq analysis and increase productivity-point, click, and done
Join this scientific presentation we discuss the start-to-finish bulk RNA-Seq analysis process, including what it is, why you do it, and considerations you need to make. We will demonstrate how to perform each analysis step using simple point-and-click actions that you can replicate in your own analysis.
Learn how to:
- Align sequence reads
- Perform quality control to determine data quality
- Quantify reads to an annotation model
- Identify and apply the best statistical method for your experiment
- Interpret differentially expressed gene sets
How to explore Fluent single cell data
Join us to explore Fluent Single cell RNA-Seq (scRNA-Seq) data. Gain insights into the gene expression of individual cells and between sample conditions using an intuitive, powerful, and interactive single-cell analysis workflow that can accelerate your research. This presentation will introduce the basic steps in tertiary scRNA-Seq analyses, highlighting how different cell populations can react to external factors.
Key Points:
- Understand the basics in tertiary single cell analyses
- Identify and compare similar groups of cells
- Use different ways to visualize differences and infer biological processes
Speakers:
Aaron May-Zhang, PhD Sr Bioinformatics Scientist, Illumina
Alex Rutkovsky, MS, PhD Sr Bioinformatics Scientist, Illumina