Data Generation
This domain contains information that ranges from important IRB and human subjects privacy matters that are important for clinical and behavioral data analysis, human specimen banking, large scale molecular profiling projects, through data management tools and resources useful for collection of clinical, specimen and laboratory covariates, as well as the types and modes of large scale molecular data generation commonly undertaken.
Scientific Computing
This domain houses researcher-oriented documentation for high performance computing and data management tools supported by Fred Hutch Center IT as provided by the Scientific Computing group (SciComp). Topics include get started guides for the various computing and software tools supported by IT, guidance for data infrastructure best practices, and advanced computing worked examples and guides on a variety of topics.
How to Contribute
This project relies upon the Fred Hutch research community itself to improve, review, expand and evolve over time. The content spans a wide range of research realms and thus we welcome contributions from a similarly wide range of researchers and staff. To facilitate the curation of content seen in this site, we have employed a GitHub repository to which any Fred Hutch based researcher can contribute to. Find more information on how to contribute here.
Wiki Writer-Editor Program
The Writer-Editor program is intended to engage current Fred Hutch based postdocs, staff scientists, and research specialists as writer-editor contributors in an ongoing manner in order to ensure that the resource continues to evolve and grow. To learn more about the program, contact Amy Paguirigan at apaguiri, or see more information here.
Our Contributors
The content of this Wiki is generated through the work of researcher and staff content providers, novice and expert reviews, and valuable editing input. Find out more about who has made this site what it is and what types of contributions have been made to date here.