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@AlexsLemonade

Alex's Lemonade Stand Foundation

Childhood Cancer Data Lab of ALSF

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About Us

The Childhood Cancer Data Lab was established by Alex’s Lemonade Stand Foundation (ALSF) in 2017. The Data Lab is a team of data scientists, designers, engineers, and communicators. Our mission is to accelerate the pace of finding novel cures and treatments for childhood cancer by putting resources and knowledge in the hands of pediatric cancer experts.

We construct tools that make vast amounts of data widely available, easily mineable, and broadly reusable. We also train researchers to better understand their own data and to advance their work more quickly. The Data Lab team simultaneously contributes to childhood cancer research and to the open science and open source software communities.

Our Projects

refine.bio

refine.bio is a multi-organism collection of genome-wide transcriptome or gene expression data that has been obtained from publicly available repositories and uniformly processed and normalized.

Single-cell Pediatric Cancer Atlas (ScPCA)

ALSF created the Single-cell Pediatric Cancer Atlas (ScPCA) project to generate an unprecedented resource for the pediatric cancer research community. Through funding investigators’ single-cell profiling of patient samples, ALSF established an atlas of over 500 samples from more than 50 cancer types and growing. To maximize the reach of this resource, the Data Lab built the ScPCA Portal to make the uniformly processed data freely available.

Interested in submitting your data to the Portal? We can accept submissions of 10x Genomics single-cell or single-nuclei profiling of childhood and adolescent cancer (ages 0-19) data, broadly defined to include relevant animal models, patient-derived xenografts, or cell lines, as well as tumor data.

Email scpca@ccdatalab.org with any questions about the Portal or submitting data.

Open Pediatric Brain Tumor Atlas (OpenPBTA)

The Open Pediatric Brain Tumor Atlas (OpenPBTA) project was a global open science initiative, which analyzed a vast collection of pediatric brain tumor data, comprising data from over 1,000 tumors. This project operated on an open contribution model, crowdsourcing expertise from childhood brain cancer experts from across the world.

Read the OpenPBTA paper in Cell Genomics to learn more!

Training Workshops

We offer training workshops to teach pediatric cancer researchers the data science skills they need to examine their own data. Participants are introduced to the R programming language, reproducible research practices, and to cutting-edge technologies used in single-cell and bulk RNA-sequencing data analysis.

All Data Lab training materials are openly licensed and freely available for others to use. Interested in using our materials to hold your own workshop? Learn how to get started and fill out the instructor interest form to submit an inquiry.

Email training@ccdatalab.org with any questions about attending or holding a workshop.

Get Involved

Visit us at ccdatalab.org, follow us on X at @CancerDataLab, and connect with us on LinkedIn.

For inquiries, please contact us at info@ccdatalab.org.

Support our work by making a tax-deductible contribution to ALSF’s Childhood Cancer Data Lab. Donate here!

Pinned

  1. refinebio refinebio Public

    Refine.bio harmonizes petabytes of publicly available biological data into ready-to-use datasets for cancer researchers and AI/ML scientists.

    Python 125 18

  2. refinebio-examples refinebio-examples Public

    Example workflows for refine.bio data

    HTML 10 5

  3. scpca-portal scpca-portal Public

    Single-cell Pediatric Cancer Atlas Portal is a growing database of uniformly processed single-cell data from pediatric cancer tumors and model systems

    Python 3

  4. scpca-nf scpca-nf Public

    scpca-nf is the Nextflow workflow for processing Single-cell Pediatric Cancer Atlas Portal data

    R 12 2

  5. OpenPBTA-analysis OpenPBTA-analysis Public archive

    The analysis repository for the Open Pediatric Brain Tumor Atlas Project

    HTML 99 67

  6. training-modules training-modules Public

    A collection of modules that are combined into 1-5 day workshops on computational topics for the childhood cancer research community.

    HTML 57 25

Repositories

Showing 10 of 70 repositories
  • scpca-portal Public

    Single-cell Pediatric Cancer Atlas Portal is a growing database of uniformly processed single-cell data from pediatric cancer tumors and model systems

    Python 3 BSD-3-Clause 0 39 3 Updated Jun 7, 2024
  • refinebio-web Public

    Refinebio Web

    JavaScript 1 BSD-3-Clause 0 50 20 Updated Jun 7, 2024
  • OpenScPCA-analysis Public

    An open, collaborative project to analyze data from the Single-cell Pediatric Cancer Atlas (ScPCA) Portal

    HTML 1 8 39 7 Updated Jun 7, 2024
  • OpenScPCA-nf Public

    A workflow for running OpenScPCA analysis modules

    R 0 BSD-3-Clause 0 4 0 Updated Jun 7, 2024
  • spellcheck Public

    This repository contains a Docker image with the R spelling package

    R 0 MIT 1 1 0 Updated Jun 6, 2024
  • training-modules Public

    A collection of modules that are combined into 1-5 day workshops on computational topics for the childhood cancer research community.

    HTML 57 25 44 0 Updated Jun 6, 2024
  • 2024-june-training Public

    Website for Data Lab "Introduction to Single Cell RNA-Seq" Training, June 2024

    HTML 0 0 0 0 Updated Jun 4, 2024
  • scpca-docs Public

    User information about ScPCA processing

    R 0 BSD-3-Clause 0 14 0 Updated May 31, 2024
  • scpca-nf Public

    scpca-nf is the Nextflow workflow for processing Single-cell Pediatric Cancer Atlas Portal data

    R 12 BSD-3-Clause 2 26 0 Updated May 29, 2024
  • training-specific-template Public template

    Template repository that can be cloned to create repo for administering a specific training workshop

    HTML 0 2 2 0 Updated May 28, 2024

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