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Fred Hutch Data Science Lab

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  1. Choosing_Genomics_Tools Choosing_Genomics_Tools Public

    Based on their genomic data types and goals, this course will help learners find educational resources and tools to help them process and interpret data.

    TeX 8 6

  2. Design_of_Data_Analysis Design_of_Data_Analysis Public

    Collaboration with Roger Peng

    CSS 7 3

  3. code_review code_review Public

    A repository with tips about code review and implementing it in a lab

    HTML 6 1

  4. AI_for_Efficient_Programming AI_for_Efficient_Programming Public

    This course on AI for software development explores the use of AI large language models (ChatGPT, Bard, etc) and their potential benefits and challenges. Hands-on activities show the ways in which …

    CSS 3 1

  5. Introduction_to_reproducible_research Introduction_to_reproducible_research Public

    Collaboration with Roger Peng

    CSS 2 3

  6. Environmental_Justice Environmental_Justice Public

    CSS 2

Repositories

Showing 10 of 136 repositories
  • fhdsl/Clinical_Data_Management’s past year of commit activity
    CSS 0 MIT 1 5 0 Updated Mar 4, 2025
  • AnVIL_SOTA_Polls Public

    An OTTR website for analyzing and reporting each year's State of the AnVIL Community Poll

    fhdsl/AnVIL_SOTA_Polls’s past year of commit activity
    CSS 0 MIT 0 3 0 Updated Mar 4, 2025
  • NIH_Data_Sharing Public

    Learn about the new NIH data sharing policy, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy.

    fhdsl/NIH_Data_Sharing’s past year of commit activity
    CSS 0 CC-BY-4.0 0 6 1 Updated Mar 4, 2025
  • Intermediate_Git_GitHub_Student_Practice Public

    Practice space for DaSL students on Git branching and GitHub pull requests.

    fhdsl/Intermediate_Git_GitHub_Student_Practice’s past year of commit activity
    0 1 0 0 Updated Mar 4, 2025
  • Containers_for_Scientists Public

    This course covers how to use containers for scientific software development. Scientific software benefits from the concepts of continuous integration (CI) and continuous deployment (CD). Containers play a critical role in CI/CD by providing a consistent, portable, and isolated environment for building, testing, and deploying software.

    fhdsl/Containers_for_Scientists’s past year of commit activity
    CSS 1 CC-BY-4.0 1 1 0 Updated Mar 4, 2025
  • fhdsl/Tools_for_Reproducible_Workflows_in_R’s past year of commit activity
    CSS 0 CC-BY-4.0 0 14 6 Updated Mar 4, 2025
  • cookbook_b Public

    Repository for Intro Git Workshop

    fhdsl/cookbook_b’s past year of commit activity
    1 Apache-2.0 5 0 2 Updated Mar 3, 2025
  • cookbook_a Public

    Repository for Intro Git Workshop

    fhdsl/cookbook_a’s past year of commit activity
    0 Apache-2.0 3 0 0 Updated Mar 3, 2025
  • intro_git Public
    fhdsl/intro_git’s past year of commit activity
    JavaScript 0 0 0 0 Updated Mar 3, 2025
  • cp_epi_talk Public
    fhdsl/cp_epi_talk’s past year of commit activity
    JavaScript 0 0 0 0 Updated Mar 3, 2025

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