MEET OUR NEW HPC CLUSTER

More computing power for BSD research, launching this fall.

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AT THE UNIVERSITY OF CHICAGO

IN THE NEWS

From the Cancer Moonshot Initiative to sequencing the genomes of prehistoric Himalayan dwellers, the CRI is helping research reach new heights.

10 YEARS OF CLINICAL DATA

Labs, diagnoses, demographics, and more are available for your research in the CRDW.

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ACQUIRE DATA

Explore clinical data available for research and make a data request.

Clinical Research Data Warehouse
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ANALYZE DATA

We offer high-performance computing and advanced bioinformatics analysis for the most complex datasets.

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Our storage is secure, standards-compliant, and backed up daily.

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MANAGE DATA

Manage studies, surveys, and databases for research.

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FIND A CUSTOM SOLUTION

Learn more about the CRI’s tailor-made research solutions.

Custom Applications

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GAIN Consortium

Genomic Assessment Improves Novel Therapy

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NCI Genomic Data Commons

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1001 Genomes

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SIMPL

Molecular Pathology Sample Tracking System

Like what you see? We’re just getting started.   RESEARCH. POWERED BY THE CRI.

NEWS

Coming Soon: Gardner, Our New HPC Cluster

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This fall, the CRI will launch our new high performance computing cluster, named Gardner. Available to all BSD/UCM researchers and their collaborators, the new cluster will allow us to accommodate more users and run analyses even more quickly and powerfully.

Gardner will feature:

  • 2.0 GHz Intel Haswell processors across all nodes
  • Infiniband FDR interconnect (56 Gbps)
  • 97 TFLOPs  Actual Performance (Rmax)
  • 88 standard compute nodes (2464 total cores;  128 GB RAM per node)
  • 28 mid-tier compute nodes (784 total cores; 512 GB RAM per node)
  • 4 large memory nodes (112 total cores; 1.28 TB RAM per node)
  • 5 GPU nodes with NVidia Tesla K80 GPUs
  • 1 Xeon Phi nodes with 2 Knight’s Corner coprocessors
  • 350 TB Scratch Space

Read More

“We are converging on a time when the whole world could become a big clinical trial”

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With a recent lawsuit drawing attention to inaccuracies in heart rate data gathered by Fitbits, do wearable health tracking devices have a place in clinical research? CRI Director Sam Volchenboum and Daphne Kis, writing in TechCrunch, look at both sides of the issue and advocate for a path forward that prioritizes both accuracy and usability.

Wearables and other forms of real-time tracking can transform large-scale studies of disease, giving researchers data that is more extensive and more accurate than what patients are able to remember weeks or months later. For example, this UChicago study of IBD patients uses Fitbits to track physical activity, allowing reseachers to find patterns and identify potential symptom triggers. But as Volchenboum and Kis note, “If we want better devices, we must do a better job of telling manufacturers what kinds of measurements and outputs we need. … Standards and data provenance aren’t sexy, but they are absolutely essential to any compelling future vision of clinical research.”

Science Life explores significance of CRI-enabled zebrafish research

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A story today in Science Life highlights the research on zebrafish antigen processing genes, conducted in part by the CRI Bioinformatics Core (read about our contribution here), that was recently published in the Proceedings of the National Academy of Sciences. Read the article to hear from the study’s lead author Sean McConnell, PhD, of the Department of Pediatrics about why these new discoveries are so exciting and how research on zebrafish may translate to advances in our understanding of the human immune system.

EVENTS

CRI Seminar Series: Introduction to Gardner, the CRI’s New HPC Cluster

October 6 @ 9:00 am - 11:00 am

Join the CRI for the second installment of our new Seminar Series. This month, our free training session is an introduction to Gardner, our new high performance computing cluster.

Umbrella Faculty Technology Receptions

October 12 @ 3:00 pm - 4:30 pm

Meet and learn about the CRI, alongside many other campus technology resources for UChicago faculty, at the Umbrella wine and cheese receptions on October 12 and 13. RSVP at umbrella.uchicago.edu.

HDSI Journal Club: Data Mining for Deadly Drug Combinations

November 3 @ 11:00 am - 12:00 pm

Join the Center for Healthcare Delivery Science & Innovation to discuss how big data can be used to predict adverse drug interactions.

BY THE NUMBERS

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Projects Supported in REDCap

Bioinformatics Projects Completed

Total CRI Training Attendance