Fred Hutch Data Science Lab
- 51 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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Repositories
- DataViz_Considerations Public
ITN course "Considerations for Bioinformatic Data Visualization" focusing on considerations for best practices in data visualization
fhdsl/DataViz_Considerations’s past year of commit activity - 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 - Machine-Learning Public
fhdsl/Machine-Learning’s past year of commit activity - 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.
fhdsl/Choosing_Genomics_Tools’s past year of commit activity - DataViz_Practice Public
ITN course "Cancer Informatics Data Visualization in Practice" focusing on practicing best practices in data visualization
fhdsl/DataViz_Practice’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 - GitHub_Automation_for_Scientists Public
This course walks through why's and the how's for using automation to boost scientific software development process.
fhdsl/GitHub_Automation_for_Scientists’s past year of commit activity - daseh_instructor_guide Public
fhdsl/daseh_instructor_guide’s past year of commit activity - bench_to_bytes Public
A guide for wet bench researchers about why considering computational and data science skills can be useful for all types of scientific work.
fhdsl/bench_to_bytes’s past year of commit activity
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