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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 9 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. intro_to_sql intro_to_sql Public

    Intro to SQL Course for Fred Hutch Winter 2025

    HTML 5 2

  5. 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

  6. Introduction_to_reproducible_research Introduction_to_reproducible_research Public

    Collaboration with Roger Peng

    CSS 2 3

Repositories

Showing 10 of 141 repositories
  • UMich_ITN_Workshop Public

    An OTTR website for resources and activities for the ITN workshops at UMich 2025

    CSS 0 MIT 0 1 4 Updated Apr 1, 2025
  • metricminer-dashboard Public archive

    A template dashboard that helps you display your metricmined data in no time!

    R 1 MIT 0 9 0 Updated Apr 1, 2025
  • metricminer.org Public archive

    A website for metricminer

    HTML 0 MIT 0 0 0 Updated Apr 1, 2025
  • metricminer Public archive

    R package that digs up data that matters from APIs, making it dashboard-ready

    R 2 MIT 0 34 1 Updated Apr 1, 2025
  • OTTR_Jekyll Public archive
    CSS 0 MIT 0 0 0 Updated Apr 1, 2025
  • OTTR_Quarto Public archive

    Repo for Quarto based Open-source Tools for Training Resources (OTTR)

    CSS 2 1 7 1 Updated Apr 1, 2025
  • OTTR_Quarto_Website Public archive

    OTTR template for making a Quarto based website

    CSS 0 MIT 0 1 0 Updated Apr 1, 2025
  • capstone-sandbox Public template
    Dockerfile 0 MIT 0 0 0 Updated Apr 1, 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.

    CSS 1 CC-BY-4.0 1 1 1 Updated Apr 1, 2025
  • JavaScript 0 0 0 0 Updated Apr 1, 2025

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