Accelerating the Pace of Childhood Cancer Research with Big Data

Alex's Lemonade Stand Foundation Logo

The Childhood Cancer Data Lab was established by Alex’s Lemonade Stand Foundation (ALSF) in 2017. ALSF recognized that pediatric cancer researchers face hurdles that impede the pace of research. 

ALSF introduced the Data Lab to empower researchers and scientists across the globe by removing roadblocks, supporting opportunities for collaboration and sharing, and developing resources to accelerate new treatment and cure discovery.

The Data Lab's mission is to empower pediatric cancer experts poised for the next big discovery with the knowledge, data, and tools to reach it. We construct tools that make vast amounts of data widely available, easily mineable, and broadly reusable. We train researchers and scientists to better understand their own data and to advance their work more quickly.

To date, the Data Lab has trained over 200 childhood cancer researchers and has harmonized over 1.3 million data samples and made them easily available. Learn more about the Data Lab’s impact here. 

Two people looking at goals

Projects

The Data Lab develops tools designed to make data and analysis widely available and broadly reusable.

Data Science Workshops

The Data Lab offers workshops to teach researchers the data science skills they need to examine their own data. Our courses focus on the most cutting edge tools and analysis techniques. We ensure that participants walk away with an understanding of:

  • The R programming language, R Notebooks, and some reproducible research practices.
  • Processing bulk and single-cell RNA-seq data from raw all the way to downstream analyses.
  • Downstream analyses methods like differential expression analyses, hierarchical clustering, and preparing publication-ready plots.

“I think anyone who is working on or near single-cell data should take this course. I am so much more confident in what I understand about single-cell analyses compared to where I was at the beginning. 10/10 recommend.”

Jessica Elswood, Postdoctoral Associate, Baylor College of Medicine
- Jessica Elswood, Postdoctoral Associate, Baylor College of Medicine

Donate

Make a donation to support the Data Lab’s mission of putting knowledge and resources in the hands of pediatric cancer experts poised for the next big discovery. 

With your help, we can

Fund innovative models to scale training workshops.

Offer our expertise and provide consultation on projects that will change the future for children fighting cancer.

Train at least 200 childhood cancer researchers over the next four years.

Blog

Resources

October 3, 2022

Resources
2022-10-03
Scientific Community Bulletin: What’s happening in October?

Welcome to the October Scientific Community Bulletin! Each month we share upcoming opportunities from Alex’s Lemonade Stand Foundation (ALSF), the Data Lab, and other events that we have gathered from a variety of science and research organizations. Subscribe to our blog to be alerted about future Scientific Community Bulletin posts!

JEN O'MALLEY

Resources

September 2, 2022

Resources
2022-09-02
Scientific Community Bulletin: What's happening in September?

Welcome to the September Scientific Community Bulletin! Each month we share upcoming opportunities from Alex’s Lemonade Stand Foundation (ALSF), the Data Lab, and other events that we have gathered from a variety of science and research organizations. Subscribe to our blog to be alerted about future Scientific Community Bulletin posts!

JEN O'MALLEY

Projects

August 29, 2022

Projects
2022-08-29
Introducing the ScPCA downstream analysis workflow!

At the Data Lab, we are constantly looking for ways to enhance the tools we build for pediatric cancer researchers. Earlier this year, we launched the Single-cell Pediatric Cancer Atlas portal, a database of uniformly-processed single-cell data from pediatric cancer clinical samples. One way we felt the portal could be even more beneficial to pediatric cancer researchers is with a ready-to-go workflow that takes in single-cell data and prepares it for downstream analyses such as unsupervised clustering. 

CHANTE BETHELL