Notice of Intent to Publish a Funding Opportunity Announcement for Metabolomic Data Analysis and Interpretation Tools (U01)

Notice Number: NOT-RM-17-019

Key Dates
Release Date: May 12, 2017

Estimated Publication Date of Announcement: July 2017
First Estimated Application Due Date: October 2017
Earliest Estimated Award Date: July 2018
Earliest Estimated Start Date: August 2018

Related Announcements

Issued by
Office of Strategic Coordination (Common Fund)


The Office of Strategic Coordination (Common Fund) intends to address challenges in the generation and use of metabolomic data in order to continue to build the national capacity for metabolomics and support the development of resources that catalyze the effective use of metabolomics in basic and translational biomedical research. Common Fund will publish four distinct but integrated Funding Opportunity Announcements (FOAs) that solicit applications for the second phase of the Common Fund Metabolomics Program.

This Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects.

The FOA is expected to be published in Summer 2017 with an expected application due date in Fall 2017.

This FOA will utilize the U01 activity code. Details of the planned FOA are provided below.

Research Initiative Details

Metabolomic Data Analysis and Interpretation Tools (U01) aims to promote the development of new or enhanced computational approaches or tools that facilitate metabolomic data analysis and interpretation, and make them accessible to the greater biomedical research community. Generalizable, scalable, and portable solutions appropriate for scientists with limited expertise in informatics will be particularly encouraged. Projects are not intended to supplement ongoing metabolomics analyses, but to provide a tool for broader use by the biomedical research community.

This Notice encourages applications from investigators with expertise in computational approaches and tools that facilitate metabolomics analysis and interpretation while ensuring usability by scientists with limited bioinformatics expertise. A demonstrated track record in generating generalizable, scalable, user-friendly and portable computational tools is highly desirable.



Please direct all inquiries to:

Krista A. Zanetti
National Cancer Institute (NCI)
Telephone: 240-276-6843