CRI Director Sam Volchenboum is one of two faculty directors for the new Graham School degree in biomedical informatics. Check out this interview with Sam for more about the program’s mission and why more formal education in biomedical informatics can improve both research and patient care.
The CRI has completed an upgrade of our Isilon storage, expanding our data storage capacity by 53 percent to a total of 1.83 petabytes. In addition to allowing us to make affordable labshare storage available for more BSD researchers, the upgrade will improve performance and reliability for our users.
Learn more about our secure, convenient data storage options here.
The CRI’s instance of REDCap has been upgraded to version 6.10. The newest features are:
• Project Folders
• Survey Themes
• Embedded Videos for Descriptive Fields
• Embedded Audio for Descriptive Fields
• Auto-complete for Drop-down Fields
• Auto-continue to Next Survey
• Other Improvements
Click here to read about these newest features. Please contact REDCap Support with any questions. Thank you.
How can doctors predict — and thus help prevent — when a patient is at increased risk of cardiac arrest while in the hospital? Does emergency room crowding affect care of patients on the hospital floor? What previously unknown links exist between weather events, staffing, patients’ lab values, outcomes, and other data, and how can this information be used to improve care?
The CRDW is an example of the kind of large, well-curated dataset that can make this advanced analysis possible. To learn more about how big data is making hospitals safer, read the interview with our director Sam Volchenboum in the Washington Post.
We are happy to announce that CRI Director Sam Volchenboum has been elected the next Chair of the Genomics and Translational Bioinformatics Working Group of the American Medical Informatics Association. This working group is dedicated to facilitating communication and collaboration between scientists to advance translational research and clinical care through the use of genomics data. Sam will lead the group in initiatives to increase data sharing, promote genomics data standards and interoperability, develop educational opportunities for clinicians, and more. Congratulations to Sam for this honor!
Check out this interview with our director, Sam Volchenboum, MD, PhD, about how large sets of patient data (like that available in the CRDW) can be used to streamline care, empower patients, and improve healthcare outcomes.
The Structure of Health Care: How Patient Data Impacts Quality of Care
A team of University of Chicago scientists is working to find ways to repurpose generic and over-the-counter drugs to treat zoonotic diseases, potentially making treatment for these infections more affordable and accessible worldwide. The CRI Bioinformatics Core’s resources and expertise allowed them to run fast, efficient analyses of the drugs’ effectiveness. Read about their work at the Institute for Translational Medicine.
A CRI-led paper published this month in PLOS ONE introduced the scientific community to ExScalibur, a new set of state-of-the-art pipelines for the bioinformatics analysis of Whole Exome Sequencing (WES) data. Read more.
Data storage users with existing labshares can now take advantage of the CRI’s new data archival service. Our system allows researchers to securely archive data that is not in active use, save money on long-term storage, and comply with regulatory and grant requirements regarding data retention. Learn more in our Archival Storage User Guide.
The CRI Bioinformatics Core has expanded its bioinformatics analysis services to include support for proteomics data. The new proteomics analysis pipeline includes raw MS data processing, deisotoping, data conversion, spectral filtering, spectral library creation, extracted ion chromatogram generation (MASIC), peptide and protein identification (X!Tandem, MaxQuant, Mascot, MSGF+), quantification (MaxQuant, Scaffold), targeted assay generation (Skyline), and dataset alignment and feature generation (MultiAlign). Additional proteomics services include profiling of post-translational modifications (phosphorylation, glycosylation, etc.), statistical analysis for labeled and label-free proteomics, and pathway enrichment analysis (Ingenuity Pathway Analysis).
