What: The Coop hosts community meetings once a quarter to share information from the data science community at the Hutch. Join us to learn about projects and events happening in our community!
When & where: Quarterly, usually A1-303 but check calendars
Contact: Anders McConachie
What: The Data Viz group meets weekly to brainstorm visualization ideas and create figures using data released by TidyTuesday. All programming languages (and even non-coders!) are welcome. Learn more about what to expect here.
When & where: every Wednesday from noon to 1 pm in the Coop Lab (M1-B406, Arnold)
Contact: Ellis Hughes
What: The Python coding group meets weekly to discuss methods of programming in Python and troubleshoot code of participants. Python coders of all levels of expertise are welcome.
When & where: every Friday from noon to 1 pm in the Coop Lab (M1-B406, Arnold)
Contact: Thomas Adams
What: The R coding group meets weekly to discuss methods of programming in R and troubleshoot code of participants. R coders of all levels of expertise are welcome.
When & where: every Thursday from noon to 1 pm in the Coop Lab (M1-B406, Arnold)
Contact: Amy Paguirigan
What: Shiny is an R package that allows creation of interactive web applications for visualizing data analysis. This group discusses creating and maintaining Shiny apps for research here at the Hutch.
When & where: third Monday of the month from noon to 1 pm in the Coop Lab (M1-B406, Arnold)
Contact: Kate Hertweck
What: The Software Design group meets once a month to discuss issues in software engineering and interface design and for participants to share their coding projects. This group is not for a specific programming language, and focuses on issues common across software projects.
When & where: second Monday of the month from noon to 1 pm in the Coop Lab (M1-B406, Arnold)
Contact: Kate Hertweck
What: The Tech Exchange lunch and learn series is an Informal learning forum for employees in technology-focused jobs to share technical skills. This groups is most appropriate for individuals who want to discuss the technical details of tools commonly used in positions focused on administration and infrastructure.
When & where: Monthly, subscribe to the TechExchange mailing list (internal to Fred Hutch) for more information
Contact: Kate Hertweck
Please see our calendars for specific times, meeting locations, and points of contact.
Bioinformatics Shared Resources offers consultation on a variety of issues related to experimental design and bioinformatic analysis. They are able to answer questions on topics including: experimental design, exploring data visually (e.g., IGV, Loupe Cell Browser), generating figures for manuscripts, and developing customized workflows for unique problems. See the Shared Resources website for more information, and email bioinformatics to make sure there is time/space available during their scheduled events.
Staff from the Hutch Data Commonwealth (HDC) Compliance Office with expertise in information security are available to answer questions related to secure data management and resources at the Hutch for security compliance. Meets concurrently with Scientific Computing General Consulting.
Staff from the Hutch Data Commonwealth (HDC] with expertise in data science and software engineering are available to discuss these topics with researchers. Meets concurrently with Scientific Computing General Consulting.
fredhutch.io trains researchers in reproducible computational methods. Staff are available to assist researchers in getting started with coding and orienting staff to resources for improving their coding, including troubleshooting application of code to research questions.
REDCap is a secure web application for building and managing online surveys and databases and is managed by Collaborative Data Services (CDS) at Fred Hutch. Staff are available to answer questions related to REDCap functionality and troubleshooting.
Scientific Computing (SciComp) is the group in Hutch Data Commonwealth (HDC) that manages basic account access for research computing resources, including data storage and shared computational cluster use. Staff are available to answer questions related to access and usage of Hutch resources for computational research.
In addition to general consulting (see above), Scientific Computing (SciComp) supports researchers interested in emerging technologies like next generation sequencing and cloud computing. Staff are available to answer questions about getting started building analytical pipelines in the cloud, and generally making computation more scalable and reproducible.