CREx News & Updates September 2021

Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More

Site Spotlight


Learn more about services from the CCR Genomics Core

NIH Cores


Access services and the expertise of Trans-NIH Cores, available to all NIH investigators

Contact to add of update a cores information

NIH Shared Instrumentation


Access a growing list of shared instruments available to all NIH investigators

We encourage you to submit details and access information for any equipment from your laboratory or Core that you are willing to share with your NIH colleagues.

Need to add or update an instrument?

Use this form: Shared Instruments

Features on CREx


Browse or search CREx for Core Facilities, Collaborative Resources, and Additional Resources at the NIH. CREx centralizes information to provide better visibility for existing resources and when new ones become available.

New Research Areas on CREx


Identify and quantitate metabolite biomarkers in biological samples using mass spectrometry.  Services and expert advice are available for conducting global profiling or targeted analysis through NIH cores and outside vendors.

NCI Cores with Metabolomics Experience

For more facilities offering Metabolomic services visit CREx Today

CREx Resources

CREx Support Team

David Goldstein, PhD | NIH, NCI, CREx l

Chris McGinity, PhD | NIH, NCI, CREx l

John Yamauchi, PhD l, CREx l

Eric Seider l, CREx l

Sign into CREx here

CREx Training

Want to learn more? Schedule a 1 on 1 or group training session today!

Contact for more information.

Events, Webinars & Technology Media


The following events showcase technologies and capabilities of NIH Cores, collaborative facilities, and external vendors present on CREx.

SEPT 16th, 1PM EST


Adam Phillippy, Ph.D., Senior Investigator, Computational and Statistical Genomics Branch, NHGRI

Other BTEP Seminar Listings

SEPT 22nd, 8:25AM-4:15PM EST


Versiti and The Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health are co-hosting the 11th Annual Red Cell Genotyping Symposium. Virtual attendance only. For more information and registration visit our BeLearning Registration Page or email

SEPT 23rd, 1:00-2:00PM EST


 In this talk, we will highlight two examples for building predictive models from multi modal data. The first example predicts dose response in cell lines based on drug and molecular features. The second example will show to combine pathology whole slide images and molecular features for cancer diagnosis and prognosis.

Presenters: George Zaki, Bioinformatics Manager, Strategic and Data Science Initiatives (SDSI), Frederick National Laboratory for Cancer Research (FNL), Pinyi Lu, Bioinformatics analyst, SDSI, FNL