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About this Resource
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The Biomedical Data Science Wiki aims to create a community curated knowledgebase for biomedical data science and research computing including guidance on policies, resources and tools supporting data intensive research by researchers at the Fred Hutch and beyond.
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Data Science
This domain contains documentation supporting researchers using biomedical data at the Hutch and beyond curated by the Fred Hutch Data Science Lab.
/datascience/ds_index/
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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).
/scicomputing/comp_index/
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Hutch Data Core
This domain describes resources provided by the Hutch Data Core, a group within Shared Resources supporting the bioinformatics and data-intensive research at Fred Hutch downstream of our Shared Resources.
/hdc/hdc_index/
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Fred Hutch DaSL
The Fred Hutch Data Science Laboratory is an emerging, collaborative effort lead by the Fred Hutch Chief Data Officer, Jeff Leek.
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Fred Hutch TDS IRC
The Translational Data Science Integrated Research Center, established in 2018, facilitates collaboration between Fred Hutch researchers, data scientists and technology partners such as Amazon and Microsoft, with the goal of ensuring that our investigators can benefit from the latest data science techniques in their quest for new discoveries.
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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. Find more information on how to contribute here.
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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 here.
/contributors/
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Data Generation
This domain is being deprecated but contains information that ranges from important IRB and human subjects privacy matters to human specimen banking and processing, to large scale molecular profiling.
/generation/gen_index/
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