Fred Hutch Data Science Lab
- 44 followers
- United States of America
- https://hutchdatascience.org/
- channel/UCVYkwYANVSJtHRX5x6WD8gQ
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Choosing_Genomics_Tools
Choosing_Genomics_Tools PublicBased on their genomic data types and goals, this course will help learners find educational resources and tools to help them process and interpret data.
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code_review
code_review PublicA repository with tips about code review and implementing it in a lab
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AI_for_Efficient_Programming
AI_for_Efficient_Programming PublicThis 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 …
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Introduction_to_reproducible_research
Introduction_to_reproducible_research PublicCollaboration with Roger Peng
Repositories
- Clinical_Data_Management Public
fhdsl/Clinical_Data_Management’s past year of commit activity - DaSEH Public
🌼 Collection of materials to accompany the R25 funded "Data Science for Environmental Health" short course
fhdsl/DaSEH’s past year of commit activity - llm-learning Public
fhdsl/llm-learning’s past year of commit activity - AnVIL_Collection Public
📚 An auto-generating collection of all materials related to the AnVIL and GDSCN projects
fhdsl/AnVIL_Collection’s past year of commit activity - bioconductor_genomics Public
fhdsl/bioconductor_genomics’s past year of commit activity - 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
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