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Fred Hutch Data Science Lab

Popular repositories

  1. Design_of_Data_Analysis Design_of_Data_Analysis Public

    Collaboration with Roger Peng

    CSS 7 2

  2. code_review code_review Public

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

    HTML 6 1

  3. Choosing_Genomics_Tools Choosing_Genomics_Tools Public

    A course to help learners find resources and tools to help them process and interpret their genomic data

    TeX 2 3

  4. Introduction_to_reproducible_research Introduction_to_reproducible_research Public

    Collaboration with Roger Peng

    CSS 2 3

  5. Environmental_Justice Environmental_Justice Public

    CSS 2

  6. github-actions-workshop github-actions-workshop Public template

    A sandbox of github actions to play with for the purposes of a workshop (or independent learning)

    HTML 2 1

Repositories

Showing 10 of 106 repositories
  • AnVIL_Collection Public

    📚 An auto-generating collection of all materials related to the AnVIL and GDSCN projects

    R 0 CC-BY-4.0 0 4 0 Updated May 26, 2024
  • AnVIL_Outreach_Dashboard Public
    CSS 0 CC-BY-4.0 0 4 0 Updated May 26, 2024
  • DaSL_Collection Public

    📚 An auto-generating library of all Data Science Lab Github-based content

    CSS 0 MIT 0 0 0 Updated May 26, 2024
  • Intro_to_R Public

    Introduction to R

    JavaScript 0 CC-BY-4.0 0 4 2 Updated May 24, 2024
  • FH_Cluster_101 Public

    This course introduces users to the Fred Hutch Cluster. It will lead users through account creation, using the terminal, connecting to the cluster, submitting jobs, and transferring files. Available in both web and Leanpub formats.

    JavaScript 0 CC-BY-4.0 2 9 2 Updated May 24, 2024
  • DaSEH Public

    🌼 Collection of materials to accompany the R25 funded "Data Science for Environmental Health" short course

    HTML 0 MIT 0 11 4 Updated May 24, 2024
  • WDL_Workflows_Guide Public

    "Developing WDL Workflows" shows a bioinformatics workflow developer how to strategically develop and scale up a WDL workflow that is iterative, reproducible, and efficient in terms of time and resource used. This guide is flexible regardless of where the data is, what computing resources are being used, and what software is being used.

    WDL 0 CC-BY-4.0 2 6 3 Updated May 23, 2024
  • Cancer_Clinical_Informatics Public
    CSS 0 MIT 1 4 1 Updated May 23, 2024
  • Data_Management_and_Sharing Public

    Data management and sharing best practices for biomedical data handling folks

    CSS 0 CC-BY-4.0 0 6 0 Updated May 23, 2024
  • Choosing_Genomics_Tools Public

    A course to help learners find resources and tools to help them process and interpret their genomic data

    TeX 2 CC-BY-4.0 3 13 1 Updated May 23, 2024
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