Opportunity Information: Apply for DE FOA 0000143
Apply for DE FOA 0000143
- The Chicago Service Center in the science and technology and other research and development sector is offering a public funding opportunity titled "Computational Biology and Bioinformatic Methods to Enable a Systems Biology Knowledgebase" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 81.049 Office of Science Financial Assistance Program.
- This funding opportunity was created on Sep 14, 2009 and posted on Sep 14, 2009.
- Applicants must submit their applications by Jan 29, 2010. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
- All types of entities are eligible to apply, except other Federal agencies, Federally Funded Research and Development Center (FFRDC) Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.
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Opportunity Summary:
The Department of Energy (DOE), Office of Science, Office of Biological and Environmental Research (BER) announced this funding opportunity (DE-FOA-0000143) to support new computational biology and bioinformatics methods that would help build and power a planned Systems Biology Knowledgebase. The central idea behind the Knowledgebase is to make systems biology more predictive by bringing together data, computational tools, and analytics in a way that helps scientists move from large-scale measurements (for example, genomics or other "omics" data) to models that can accurately forecast how an organism or even a more complex biological system will behave. In practical terms, BER is looking for research and development that improves the computational foundations needed to turn biological data into usable, testable, and increasingly reliable predictive models, aligning with DOE missions tied to scientific discovery, innovation, energy security, and environmental responsibility.
This opportunity is categorized as discretionary funding and uses the grant funding instrument under the Office of Science Financial Assistance Program (CFDA 81.049). It was posted on September 14, 2009, with an application deadline of January 29, 2010, and it was later archived on January 14, 2011. There is no cost sharing or matching requirement, which means applicants are not required to contribute a defined portion of project costs from non-federal sources as a condition of award. The administering office listed is the Chicago Service Center, and the announcement emphasizes BERs broader role in advancing world-class biological and environmental research while also providing scientific facilities that support DOE priorities.
Eligibility is broadly open ("unrestricted") to many types of entities, with specific exclusions. Other federal agencies are not eligible to apply, and neither are Federally Funded Research and Development Center (FFRDC) contractors. In addition, nonprofit organizations described under section 501(c)(4) of the Internal Revenue Code that have engaged in lobbying activities after December 31, 1995 are excluded. Aside from those categories, the program is generally accessible to universities, national laboratory partners that are not applying as excluded FFRDC contractors, nonprofit research organizations (outside the excluded lobbying-related category), for-profit entities, and other qualified applicants, subject to any clarifications in the full announcement text.
From a technical standpoint, the purpose of the solicitation is to push forward the kinds of computational and informatics capabilities that a modern systems biology platform would need: methods to integrate diverse biological datasets, analytics that can uncover relationships across different layers of biology, and modeling approaches that support prediction rather than only description. The Knowledgebase concept implies an environment where data and models can be connected, compared, reused, and improved over time, so the kinds of projects that fit this call would generally be those that strengthen data-to-model pipelines, improve the ability to interpret and contextualize biological measurements, and help researchers build computational representations of living systems that can be validated and used to anticipate system behavior.
For access and support, the announcement directs applicants who have trouble obtaining the full FOA electronically to contact support@fedconnect.net, and it provides a program contact at DOE (Deborah Greenawalt, Deb.Greenawalt@science.doe.gov). It also notes that if there are problems linking to the opportunity, applicants should contact the FedConnect HelpDesk.
Frequently Asked Questions (FAQs)
What is the focus of DOE funding opportunity DE-FOA-0000143?
DE-FOA-0000143 is a Department of Energy (DOE) Office of Science funding opportunity from the Office of Biological and Environmental Research (BER) to support new computational biology and bioinformatics methods. The goal is to advance computational foundations that help convert biological data into usable, testable, and increasingly reliable predictive models, in support of a planned Systems Biology Knowledgebase.
What is the planned Systems Biology Knowledgebase meant to do?
The planned Systems Biology Knowledgebase is described as an environment that brings together data, computational tools, and analytics to make systems biology more predictive. The concept emphasizes helping scientists move from large-scale measurements (such as genomics or other "omics" data) to models that can forecast how an organism, or a more complex biological system, will behave.
What kinds of projects are a good fit for this solicitation?
Projects that strengthen computational and informatics capabilities needed for a modern systems biology platform align with this FOA. Based on the description, strong fits include research and development that improves data-to-model pipelines, integrates diverse biological datasets, develops analytics that uncover relationships across different biological layers, and advances modeling approaches designed for prediction (not only description).
Is the emphasis more on prediction or on descriptive analysis?
The announcement emphasizes prediction. It highlights building models that can accurately forecast biological system behavior, and supporting methods that translate large-scale biological measurements into predictive, testable models.
What specific technical areas does BER highlight as important?
The FOA points to computational biology and bioinformatics methods that enable: (1) integration of diverse biological datasets, (2) analytics to uncover relationships across multiple layers of biology, and (3) modeling approaches that support predictive systems biology. It also implies an interest in approaches that help connect, compare, reuse, and improve data and models over time within a Knowledgebase-like environment.
How does this opportunity relate to DOE missions?
The solicitation frames the work as aligning with DOE missions tied to scientific discovery, innovation, energy security, and environmental responsibility, while supporting BER's broader role in advancing biological and environmental research and providing scientific facilities that support DOE priorities.
What type of funding opportunity is this?
This opportunity is categorized as discretionary funding and uses the grant funding instrument under the Office of Science Financial Assistance Program.
What CFDA number is associated with this program?
The CFDA number listed is 81.049.
When was the funding opportunity posted?
The opportunity was posted on September 14, 2009.
What was the application deadline?
The application deadline was January 29, 2010.
Is this funding opportunity still active?
No. The announcement was later archived on January 14, 2011.
Is cost sharing or matching required?
No. The announcement specifies there is no cost sharing or matching requirement, meaning applicants were not required to contribute a defined portion of project costs from non-federal sources as a condition of award.
Who administered this opportunity?
The administering office listed is the Chicago Service Center.
Who is eligible to apply?
Eligibility is described as broadly open ("unrestricted") to many types of entities, subject to specific exclusions listed in the announcement. Aside from those exclusions, the opportunity is generally accessible to universities, nonprofit research organizations (outside the excluded category), for-profit entities, and other qualified applicants, consistent with any clarifications in the full announcement text.
Which organizations are not eligible to apply?
The announcement states that other federal agencies are not eligible. It also excludes Federally Funded Research and Development Center (FFRDC) contractors. In addition, nonprofit organizations described under section 501(c)(4) of the Internal Revenue Code that have engaged in lobbying activities after December 31, 1995 are excluded.
Are national laboratories allowed to apply?
The eligibility language is broadly open with exclusions. The provided summary indicates that national laboratory partners may participate so long as they are not applying as excluded FFRDC contractors, and subject to any additional details in the full FOA.
Does the announcement describe the intended outcome of funded work?
Yes. The intended outcome is improved computational foundations that help turn biological data into predictive, testable models, supporting a Knowledgebase vision where data and models can be connected, compared, reused, and improved over time.
What examples of large-scale biological measurements are mentioned?
The announcement mentions genomics and other "omics" data as examples of large-scale measurements that would be translated into predictive models through the Knowledgebase-enabled approach.
Where should applicants go if they have trouble obtaining the full FOA electronically?
The announcement directs applicants who have trouble obtaining the full FOA electronically to contact support@fedconnect.net.
Who is the DOE program contact listed in the announcement?
The program contact listed is Deborah Greenawalt at Deb.Greenawalt@science.doe.gov.
What should someone do if they have problems linking to the opportunity?
The announcement notes that if there are problems linking to the opportunity, applicants should contact the FedConnect HelpDesk.
What is the broader research context for BER in this solicitation?
The announcement highlights BER's role in advancing world-class biological and environmental research and in providing scientific facilities that support DOE priorities, with this FOA specifically targeting computational biology and bioinformatics advances that would support a predictive systems biology Knowledgebase.
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