Workshop Video Recordings
View the list of past workshops to find video recordings and lesson notes.Learn More
New at CFDE Training
Read the realease notes to learn more about our latest tutorial additions.Learn More
RNA-Seq on Cavatica
Learn to perform differential gene expression analysis using Kids First cancer cohorts on Cavatica cloud platform.Get Started
Amazon Web Services
Learn to connect, setup and conduct analysis using Amazon's cloud computing services.Get Started
Google Cloud Platform
Learn to setup, download NCBI's SRA datasets and conduct analysis using Google's cloud computing services.Get Started
Learn to create reproducible and scalable data analyses using the snakemake workflow management system.Get started
Discover the use of conda for managing virtual environments and software package installations for streamlined, versioned and reproducible workflows.Get started
Welcome to CFDE Training Resources!
We are working to make Common Fund data more accessible to researchers and clinicians like you! Choose from our growing list of tutorials and resources to learn how to perform bioinformatic analyses and access data.
We have created the following hands-on tutorials:
- Common Fund Tools: Kids First and CFDE Portal
- Cloud Platforms: AWS, GCP, and Terra
- Bioinformatic Analyses: BLAST, GWAS, and RNA-Seq
- General Tools: Conda, R, Snakemake, and UNIX.
If you would like to submit a new tutorial, please refer to the Website Style Guide.
The CFDE hosts free, vitural workshops every month!
Check out our events calendar to learn more about upcoming workshops.
A list of past workshop with links to workshop materials can be found on the workshop history page.
The Common Fund Data Ecosystem (CFDE) Coordination Center (CC) is a NIH Common Fund effort to identify and solve issues that inhibit data access and reuse across Common Fund programs.
By connecting the data and making them more accessible, the CFDE aims to enable novel scientific research that was not possible before, including hypothesis generation, discovery, and validation.