Past events

See a full list of events on the Coop Calendar

• Women in Data Science. The Coop and TDS IRC hosted the WiDS meetup group, featuring three speakers from the Hutch. Jan 15, 2020 from 6-8 pm. The speakers were: Dora Dong, data scientist for HDC; Gretchen Krenn, program manager for Hutch Data Visualization; and Jenny Smith, Bioinformatics Analyst in CRD. - Talk Recording: https://bluejeans.com/s/hdYLG/
  
• UCSC Genome Browser Training. Friday, August 23, 2019, 9am to noon, M1-A305 (Arnold Building). Bob Kuhn from UCSC led this training on use of the UCSC Genome Browser, including the following topics: features and navigation in the Genome Browser, types of data to visualize, and advanced features of the browser. A recording of the training can be found on YouTube.
• protocols.io founder Lenny Teytelman presented on August 13, 2019 on protocols.io, a platform makes it easy to share research recipes and to collaborate on method development, both publicly and privately. You can view the talk here.
• Os Keyes gave a seminar titled “Trans/Formations: Data, Entropy, and Trans Lives” on February 13, 2019. You can view the talk here.
  

Coop Friends

Bioinformatics and Data Science Groups at Fred Hutch

Below is a list of groups at the Hutch that support or enable data-intensive research. Please email us if you have additions, edits, or concerns.

Scientific Computing (SciComp)

The Scientific Computing (SciComp) team supports Fred Hutch's science teams by providing support, training and consulting for high-performance computing, scientific software support, cloud computing(AWS, Azure), Unix database services, scientific data management and Linux desktop support.

Contact: Help Desk

Translational Data Science Integrated Research Center (TDS IRC)

Recent advances in statistics and computational techniques as well as experimental technologies are transforming how we generate and analyze data. This big data has big potential. But that potential can only be fully realized through collaboration between researchers with complementary skill sets, approaches and resources. The Translational Data Science IRC harnesses these advances and expertise to spur innovation and open up new avenues for preventing and treating cancer and related diseases.

Biomedical Data Science Wiki Project

The Biomedical Data Science Wiki Project supports communication of Fred Hutch data science resources by engaging researchers and staff to collaboratively curate documentation about data management tools.

Contact: Amy Pagurigan

fredhutch.io

fredhutch.io is the education and training organization that promotes access to computational resources at Fred Hutch.  

Contact: Kate Hertweck

Bioinformatics - Shared Resources

The Bioinformatics Shared Resource is staffed by three dedicated bioinformatics specialists available to assist researchers with processing, exploring, and understanding genomics data.

Contact: bioinformatics@fredhutch.org

Public Health Sciences (PHS) Herbold Computational Biology Program

The Herbold Computational Biology Program at Fred Hutch was established to bring a new generation of biological researchers to the Hutch whose training in biology is accompanied by advanced training in quantitative sciences, including physics, statistics, mathematics and computer science.

Contact: Melissa Alvendia

SCHARP

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch provides statistical support and data management to researchers worldwide in the fight against HIV/AIDS. The SCHARP group consists of approximately 120 staff collectively that are skilled in clinical and lab data management, programming, statistics, IT data systems, quality assurance and project management.

Contact: Jennifer Adams, Administrative Manager

Seattle Translational Tumor Research (STTR)

Seattle Translational Tumor Research (STTR) bring together experts across more than fifteen blood, lymphatic and solid tumors – bladder, brain, breast, colorectal, head & neck, leukemia, lymphoma, lung, myelodysplastic/myeloproliferative disease, myeloma, ovary, pancreas, prostate and sarcoma.

Contact: Rachel Galbraith

Genomics - Shared Resources

The Genomics Shared Resource provides expertise to support the generation of genomics-based data. Services are provided through three specialized laboratories: 1) DNA Array, 2) Genetic Analysis, and 3) High-Throughput Screening. The Resource has partnered with the Bioinformatics Shared Resource to provide a streamlined set of complete services.

Contact: genomics@fredhutch.org

Clinical Research Division (CRD) Clinical Biostatistics

Faculty and staff in the Clinical Biostatistics group perform methodological and collaborative biostatistical research. The collaborative work takes place with investigators within the Clinical Research Division (CRD) at Fred Hutch as well as with other investigators within the Fred Hutch/ UW Cancer Consortium. The statisticians in the Clinical Biostatistics program are instrumental in designing and analyzing data from the experiments that drive our clinical research. Our team of 11 statisticians collaborates extensively with the clinical investigators in the division. We lead the design, analysis, and interpretation of results from studies to obtain the most accurate, evidence-based scientific conclusions to best inform patient treatment and care.

Vaccine and Infectious Disease Division (VIDD) Biostatistics, Bioinformatics and Epidemiology

The Biostatistics, Bioinformatics and Epidemiology Program (BBE) supplies the statistical and mathematical modeling expertise needed within Fred Hutch’s Vaccine and Infectious Disease Division to accomplish our ambitious objective of eliminating disease and death attributable to infection. We are also accelerating research to confront the growing burden of cancer worldwideThe BBE's nearly 34 faculty members model epidemics, research statistical methods to design complex global clinical trials, and analyze biological assays to better understand infectious disease processes and immune responses.

Computational Biology Postdoc & Graduate Student Group

The Comp Bio Postdoc and Grad Student Group is self-governed and designed to facilitate collaboration and community amongst postdocs and graduate students at the Hutch that have an interest in Computational Biology.  The bimonthly meeting gives postdocs and graduate students a great opportunity to practice an upcoming talk, go over personal or lab research, discuss new technology that is being used in lab or field, discuss a journal or research question, or come up with a social activity.

Contact: Samantha Distel