• New at CFDE Training

    Explore our latest tutorial additions and
    discover lessons across a broad spectrum
    of technical topics.

    Learn More

    stuff

  • GWAS in the Cloud

    Analyse genetic variants to obtain
    correlations to phenotypes and visualize
    using a Manhattan plot.

    Get Started

    stuff

  • Amazon Web Services

    Learn to connect, setup and conduct
    analysis using Amazon's cloud
    computing services.

    Get Started

    stuff

  • Snakemake Workflows

    Learn to create reproducible and
    scalable data analyses using the
    snakemake workflow management
    system.

    Get started

    stuff

  • CFDE Data Portal

    Discover multiple datasets across all
    Common Fund programs and generate
    data manifests all in one single search.

    Get started

    stuff

  • Analysis with Cavatica

    Learn to transfer data subsets
    between the Kids First portal and
    Cavatica.

    Get Started

    stuff

  • CFDE Internal Resources

    Find lessons on navigating GitHub,
    contributing to our websites and
    identifying MIME type.

    Get Started

    stuff

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.

Past Workshops

Introduction to the Kids First Data Resource Portal
Dec 17, 2020  •  Virtual Workshop

Walk-through of the Kids First Portal to search, filter and visualize data followed by discussion session for next steps to use Kids First data in one's own research.
Workshop Resources:  Setup  •  Explore  •  Queries

Introduction to Amazon Web Services / Elastic Cloud Computing
Dec 1, 2020  •  Virtual Workshop

A hands on workshop to introduce cloud computing concepts, create a virtual machine, and run a small job via Amazon Web Services (AWS).
Workshop Resources:  AWS  •  BLAST

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About CFDE

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.