Opportunity Information: Apply for RFA CA 15 018
Apply for RFA CA 15 018
- The HHS-NIH11 in the education, health sector is offering a public funding opportunity titled "Genomic Data Analysis Network: Processing Genomic Data Center (U24)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.393, 93.394, 93.395, 93.396,.
- This funding opportunity was created on Oct 22, 2015 and posted on Oct 22, 2015.
- Applicants must submit their applications by Jan 27, 2016. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $660,000.00 in funding.
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For profit organizations other than small businesses, Small businesses, Others (see text field entitled Additional Information on Eligibility for clarification).
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Opportunity Summary:
The Genomic Data Analysis Network: Processing Genomic Data Center (U24) opportunity (RFA-CA-15-018) was a National Cancer Institute (NCI) funding announcement run through the NIH (agency listed as HHS-NIH11) and managed by NCI's Center for Cancer Genomics (CCG). It used the cooperative agreement mechanism (U24), which generally signals that the funded organization would not simply receive money to run an independent project, but would work in an ongoing, coordinated partnership with NCI staff and other participating groups. The program sat within a broader NCI cancer genomics portfolio aimed at generating and analyzing genomic information from well-annotated, high-quality tumor samples so researchers can better understand how cancers start, change over time, and become resistant to therapy.
At a practical level, the focus of this particular FOA was to support a "Processing Genomic Data Center" as part of a larger Genomic Data Analysis Network. While the short description does not list every required task, the title and program context indicate the center would be responsible for processing genomic data in a standardized, reliable way so that downstream analysis across projects and institutions is consistent and scientifically comparable. That kind of work typically involves building and operating robust data-processing pipelines, performing quality control and validation, harmonizing data formats and metadata, and ensuring processed outputs are suitable for broader use by the research community and by NCI-supported consortia. The emphasis on "well-annotated" samples also implies close attention to the linkage between genomic results and accompanying clinical or biospecimen information, because those annotations are what make the genomic findings interpretable for questions about disease mechanisms, prognosis, and treatment response.
The larger purpose behind funding this center was directly tied to translational impact. By systematically characterizing tumors genomically and making the resulting knowledge usable, the program aimed to help uncover the biological mechanisms that drive cancer initiation and evolution and the pathways that underlie therapeutic resistance. In turn, those insights are expected to accelerate development of better diagnostic and prognostic markers, identify new molecular targets for drug development, and inform prevention and treatment strategies. In other words, the processing center was positioned as infrastructure that enables many cancer studies to draw reliable conclusions from genomic datasets rather than as a single-lab discovery project.
Eligibility was broad and included many types of domestic organizations: state, county, and city governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments and other tribal organizations; public housing authorities/Indian housing authorities; nonprofit organizations (both 501(c)(3) and non-501(c)(3)); for-profit organizations other than small businesses; small businesses; and other applicants as further clarified in the FOA text. The activity category was listed under education and health, and the associated CFDA numbers were 93.393, 93.394, 93.395, and 93.396, reflecting its placement within NIH/NCI cancer-related assistance programs.
Key administrative details include a posting and creation date of October 22, 2015, with an original and current closing date of January 27, 2016, indicating a single submission cycle for that announcement. The award ceiling was listed as $660,000. The number of expected awards is not provided in the supplied record, but the structure implies NCI anticipated funding one or more centers that together would form part of a coordinated data analysis network.
Frequently Asked Questions (FAQs)
What is the name of this grant opportunity?
The opportunity is titled The Genomic Data Analysis Network: Processing Genomic Data Center (U24) and is associated with funding announcement number RFA-CA-15-018.
Which agency offered and managed this funding announcement?
This was a National Cancer Institute (NCI) funding announcement run through the National Institutes of Health (NIH), with the agency listed as HHS-NIH11. It was managed by NCI's Center for Cancer Genomics (CCG).
What funding mechanism was used (and what does it imply)?
The announcement used the U24 cooperative agreement mechanism. This generally implies that the awardee would not operate fully independently, but would work in an ongoing, coordinated partnership with NCI staff and other participating groups as part of a broader network.
What program or broader initiative did this opportunity belong to?
The Processing Genomic Data Center sat within a broader NCI cancer genomics portfolio focused on generating and analyzing genomic information from well-annotated, high-quality tumor samples to help researchers understand how cancers start, evolve over time, and develop resistance to therapy.
What was the main goal of the Processing Genomic Data Center?
The main goal was to support a "Processing Genomic Data Center" as part of a larger Genomic Data Analysis Network. Based on the title and program context provided, the center was intended to process genomic data in a standardized and reliable way so downstream analyses across multiple projects and institutions would be consistent and scientifically comparable.
What kinds of activities would the Processing Genomic Data Center typically perform?
While the short description does not list every required task, the provided context indicates work commonly associated with a genomic data processing center, including:
- Building and operating robust data-processing pipelines
- Conducting quality control and validation
- Harmonizing data formats and metadata
- Ensuring processed outputs are suitable for broader use by the research community and NCI-supported consortia
Why does the announcement emphasize "well-annotated" tumor samples?
The emphasis on "well-annotated" samples implies close attention to linking genomic results with accompanying clinical and/or biospecimen information. These annotations make genomic findings interpretable for questions about disease mechanisms, prognosis, and treatment response.
How does this type of center support translational cancer research?
The center was positioned as infrastructure that enables many cancer studies to draw reliable conclusions from genomic datasets. By systematically characterizing tumors genomically and making results usable, the effort aimed to help uncover mechanisms of cancer initiation and evolution and pathways behind therapeutic resistance, supporting progress toward:
- Better diagnostic and prognostic markers
- New molecular targets for drug development
- Improved prevention and treatment strategies
Is this opportunity more like infrastructure support or a single-lab discovery project?
Based on the description provided, it is primarily infrastructure/network support rather than a single-lab discovery project. The Processing Genomic Data Center role is framed as enabling consistent and comparable genomic data processing across projects and institutions.
Who was eligible to apply?
Eligibility was broad and included many types of domestic organizations, including:
- State, county, and city governments
- Special district governments
- Independent school districts
- Public and state-controlled institutions of higher education
- Private institutions of higher education
- Federally recognized Native American tribal governments and other tribal organizations
- Public housing authorities/Indian housing authorities
- Nonprofit organizations (501(c)(3) and non-501(c)(3))
- For-profit organizations other than small businesses
- Small businesses
- Other applicants as further clarified in the FOA text
What was the activity category listed for this opportunity?
The activity category was listed under education and health.
Which CFDA numbers were associated with this opportunity?
The associated CFDA numbers were 93.393, 93.394, 93.395, and 93.396, reflecting its placement within NIH/NCI cancer-related assistance programs.
When was the funding opportunity posted?
The posting and creation date was October 22, 2015.
What was the application closing date?
The original and current closing date was January 27, 2016, indicating a single submission cycle for that announcement.
What was the maximum award amount (award ceiling)?
The award ceiling was listed as $660,000.
How many awards were expected?
The number of expected awards is not provided in the supplied record. However, the structure implies NCI anticipated funding one or more centers that together would form part of a coordinated data analysis network.
What does being part of a "Genomic Data Analysis Network" imply for the awardee?
Based on the cooperative agreement structure and the network framing, participation implies coordinated work alongside NCI staff and other participating groups, with an emphasis on standardization and outputs that support cross-project and cross-institution scientific comparability.
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