Welcome to the sixty eighth ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Fresh from the Lab
[Free In-Person Workshop: Introduction to AnVIL] Learn about the AnVIL platform, a secure cloud-based platform that enables genomic data analysis at scale. AnVIL includes a number of analysis environments and platforms, including Galaxy, Bioconductor, and WDL Workflows. The workshop will feature hands-on demos with open-access data. Register here: bit.ly/hutch-anvil-2024 and learn more by clicking the link above.
[New Coursera Course: Data Management and Sharing for NIH Proposals] The National Institutes of Health (NIH) has a new policy for the management and sharing of scientific data starting for (most) grants submitted January 25, 2023 or later. In this course we will describe what the new policy requires, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy. This course is for anyone writing a grant proposal for NIH that needs to know more about this policy and how to abide by it. It will guide learners gently through the process and help you figure out where you might need to share your data.
Our Weekly Bookmarks Bar
[Fred Hutch Only: Webinar] BioRender will be hosting a webinar series exclusively for Fred Hutch! Learn actionable tips and techniques for designing science fgures for your posters, presentations, publications, and more. We will introduce BioRender and give a live demonstration of the platform. First meeting: March 21st at 10:00 AM PST. Hosted by Thor Evans. Click here to see the flier and click above to register.
[ChatGPT Implemented in a Spreadsheet] Spreadsheets-are-all-you-need is a low-code introduction to the details behind today’s Large Language Models (LLMs) that’s ideal for: Technical executives, marketers, and product managers/ Developers and scientists transitioning into machine learning/ AI policy makers and ethicists. If you can understand a spreadsheet, then you can understand AI!
As always you can contact us by replying directly to this email, you can contact the Data Science Lab at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory