Childhood Cancer Data Lab

The Childhood Cancer Data Lab, founded by @alexslemonade, is at the intersection of big data and childhood cancer research.

Read our blog:

[Childhood Cancer Data Lab @CancerDataLab]

We had a great time being part of #AACR26 — sharing resources like our Single-cell Pediatric Cancer Atlas Portal, meeting @AlexsLemonade grant recipients, and learning about the latest advancements in cancer research.

Learn more about the Data Lab: https://t.co/6B3wazkzwi

[Alex's Lemonade Stand Foundation @AlexsLemonade]

Dr. Kelly Bailey from the Mayo Clinic with Ally Hawkins, PhD from the ALSF Data Lab at AACR 2026!

We’re proud to collaborate with Dr. Bailey’s team on the Sean Karl cohort, working to better understand therapeutic vulnerabilities in Ewing sarcoma.

Our team has contributed by developing a reproducible workflow to generate a harmonized dataset for consistent analyses, which will be released and openly licensed for others’ use. The generated data will be shared on the Single-cell Pediatric Cancer Atlas (ScPCA) Portal.

Come meet Dr. Hawkins at our poster today to learn more about the ScPCA Portal!

Poster: Improving the utility of the Single-cell Pediatric Cancer Atlas through updated cell type annotations, CNV inference, and visualization tools
📅 Today! April 20 | 2-5 PM
📍 Section 31 | Board 13

[Childhood Cancer Data Lab @CancerDataLab]

Meet the Data Lab at #AACR26! 🎉

Stop by Booth 2918 to meet our team and explore resources to accelerate new treatment and cure discovery for pediatric cancer.

[Childhood Cancer Data Lab @CancerDataLab]

We're gearing up for the 2026 #AACR Annual Meeting in San Diego, CA! 🎉

Find us in the exhibit hall at booth 2918! Learn about ALSF grant opportunities, resources for #PediatricCancer research, and apply to free data science training workshops.
https://t.co/RtxVMzRynJ

[Childhood Cancer Data Lab @CancerDataLab]

We're excited to join the Childhood Cancer Data Initiative (CCDI) webinar series! 🎉

Our director, Dr. Jaclyn N. Taroni, will give a lightning talk on the Open #SingleCell #PediatricCancer Atlas project.

🗓 Tomorrow! April 7 | 10:30 AM–12 PM
https://t.co/EI6Nc0WCPn

[Childhood Cancer Data Lab @CancerDataLab]

Are you attending #ENAR2026 in Indianapolis next week? Don’t miss the Data Lab’s presentation on machine learning in pediatric cancer research, presented by our director Dr. Jaclyn N. Taroni, on March 16!

#MachineLearning #PediatricCancer

[Childhood Cancer Data Lab @CancerDataLab]

Advanced Single-cell RNA-Seq Workshop (Virtual, June 8-12)

We will cover:
-Integrating multiple single-cell RNA-seq libraries
-Working with CITE-Seq data
-Differential expression analysis
-Pathway analysis

https://t.co/22gIcZLtIe

[Childhood Cancer Data Lab @CancerDataLab]

Applications are open! We’re excited to announce two opportunities for pediatric cancer researchers to build their skills in single-cell RNA-Seq data analysis.

Learn more and apply to our upcoming workshops. 🧵

[Childhood Cancer Data Lab @CancerDataLab]

Introduction to Single-cell RNA-Seq Workshop (Virtual, May 11-15)

We will introduce:
-R programming, R Notebooks, and reproducible research practices
-Select pipelines for single-cell RNA-seq analysis
-Cell type annotation

https://t.co/SwC7SlalUG

[Childhood Cancer Data Lab @CancerDataLab]

Advanced Single-cell RNA-Seq Workshop (Virtual, June 8-12)

We will cover:
-Integrating multiple single-cell RNA-seq libraries
-Working with CITE-Seq data
-Differential expression analysis
-Pathway analysis

https://t.co/22gIcZLtIe

[Childhood Cancer Data Lab @CancerDataLab]

Did you know the Data Lab can support your data-intensive research projects? Our science team specializes in working with large datasets from designing pipelines to ensuring reproducible analysis.

Learn more! https://t.co/hnbSA5omF2

[Childhood Cancer Data Lab @CancerDataLab]

📢Exciting news from the #SingleCell #PediatricCancer Atlas Portal! We’ve rolled out new features to help you extract deeper insights from your ScPCA datasets.

Read our blog to see how these updates can help you save time and work more efficiently.
https://t.co/WdcJxnNB4C

[Childhood Cancer Data Lab @CancerDataLab]

Stay tuned! We’ll be announcing even more new features early next year. Until then, explore these updates at https://t.co/QYiVQdY0cw. 🚀

[Childhood Cancer Data Lab @CancerDataLab]

Doublet detection:
We ran doublet detection on all samples using scDblFinder. We do not remove doublets, but these results are now included in the filtered and processed objects for downstream filtering.

[Childhood Cancer Data Lab @CancerDataLab]

InferCNV:
We now perform copy number variation inference using InferCNV on samples that contain at least 100 non-malignant reference cells, based on updated consensus cell types. The InferCNV output is available in processed objects and can aid in identifying malignant cells.

[Childhood Cancer Data Lab @CancerDataLab]

🎉 As we wrap up the year, we’re excited to share new updates to the #SingleCell #PediatricCancer Atlas (ScPCA) Portal! All datasets have been updated with features that improve data quality and usability.

Here’s what’s new! 🧵

[Alex's Lemonade Stand Foundation @AlexsLemonade]

🔬 FREE WEBINAR 12/17! Join us for the seminar "Newborn Screening for Cancer Risk: Has the Time (Finally) Come" from Dr. Lisa Diller, pediatric oncologist at the Dana-Farber Cancer Institute and Boston Children’s Hospital.

Dr. Diller's lecture will have three learning objectives:

🍋 Understand the potential benefit of early identification of children at-risk for cancer due to genetic predisposition.

🍋 Understand the pitfalls and risks of genetic testing for childhood cancer.

🍋 Understand how retinoblastoma outcomes might be changed if RB1 genetic risk testing were included in newborn screening.

Register here> https://t.co/Qtmv03GLYC