Opportunity Information: Apply for RFA RM 10 005
Apply for RFA RM 10 005
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Computational Tool Development and Integrative Data Analysis for LINCS (U01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.310 Trans NIH Research Support.
- This funding opportunity was created on Aug 6, 2010 and posted on Aug 6, 2010.
- Applicants must submit their applications by Feb 22, 2011. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $2,800,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $250,000.00 in funding.
- The number of recipients for this funding is limited to 4 candidate(s).
- Eligible applicants include: Small businesses Private institutions of higher education Native American tribal governments (Federally recognized) Public housing authorities/Indian housing authorities Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Special district governments County governments Independent school districts State governments Public and State controlled institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) For profit organizations other than small businesses Others (see text field entitled Additional Information on Eligibility for clarification) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education City or township governments.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Eligible Agencies of the Federal Government Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Non domestic (non U.S.) Entities (Foreign Organizations) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession.
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Opportunity Summary:
The NIH funding opportunity RFA-RM-10-005, titled "Computational Tool Development and Integrative Data Analysis for LINCS (U01)," was designed to support the creation of new computational methods and software that can combine and interpret the diverse datasets produced by the Library of Integrated Network-based Cellular Signatures (LINCS) program. The core idea behind the announcement is that LINCS generates many different kinds of cellular "signature" data after cells are exposed to a wide range of biological or chemical perturbations, and the value of those datasets depends heavily on having strong analytic tools that can integrate them, compare them, and extract biological meaning. Applications were therefore expected to focus on innovative approaches for integrative analysis across multiple data types, helping researchers identify relationships among perturbations, cellular responses, and underlying mechanisms.
This opportunity used the U01 cooperative agreement mechanism, which typically means awardees would work in closer coordination with NIH program staff than under a standard investigator-initiated grant. The announcement also made clear that these computational awards were meant to complement, not duplicate, major LINCS data-generation efforts funded under a separate solicitation (RFA-RM-10-003, U54). In that companion effort, large-scale production centers would systematically generate perturbation-induced cellular signatures and contribute to a knowledge base aimed at uncovering mechanism-based associations among diverse perturbations and mapping functional relationships among cellular components. In parallel, a separate FOA (RFA-RM-10-004) was anticipated to support technology development for improving how cellular signature data are generated. In other words, the overall LINCS strategy was structured as a coordinated ecosystem: U54 awards to produce the data at scale, other initiatives to advance the experimental technology, and this U01 program to build the computational glue needed to integrate, analyze, and make the data broadly useful.
In terms of funding scope, NIH anticipated making up to four awards in fiscal year 2011. Projects could request up to two years of support. Budgets were capped at $250,000 per year in direct costs, and the total program funding level was estimated at about $1.4 million in FY2011 and $1.4 million in FY2012 (roughly $2.8 million total), contingent on the submission of proposals judged to be scientifically strong. The opportunity did not require cost sharing or matching.
The announcement was categorized as discretionary funding and used the "cooperative agreement" funding instrument type, with an activity category in health and a CFDA listing of 93.310 (Trans-NIH Research Support). It was posted on August 6, 2010, with an original and current closing date of February 22, 2011, and an archive date of March 25, 2011. The sponsoring agency was the National Institutes of Health.
Eligibility was broad and included many organization types: small businesses; for-profit organizations (including those other than small businesses); private and public institutions of higher education; nonprofits with and without 501(c)(3) status (with distinctions noted for those outside higher education); state, county, and local governments (including city/township governments and special district governments); independent school districts; public housing authorities/Indian housing authorities; Native American tribal governments (federally recognized) and tribal organizations (including those not federally recognized); tribally controlled colleges and universities; U.S. territories or possessions; regional organizations; and non-U.S. entities (foreign organizations). The eligibility notes also referenced specific institution categories commonly highlighted in federal programs, including Alaska Native and Native Hawaiian Serving Institutions, Hispanic-Serving Institutions, Historically Black Colleges and Universities (HBCUs), and eligible agencies of the federal government.
Overall, the grant opportunity aimed to ensure that LINCS data could be turned into actionable biological insight by investing in computational innovation: tools, algorithms, and integrative analytic frameworks capable of handling heterogeneous data streams, enabling comparisons across perturbations and experimental systems, and supporting the broader LINCS goal of building a systematic, mechanism-oriented understanding of cellular responses.
FAQs: NIH RFA-RM-10-005 - Computational Tool Development and Integrative Data Analysis for LINCS (U01)
What is RFA-RM-10-005?
RFA-RM-10-005 is a National Institutes of Health (NIH) funding opportunity titled "Computational Tool Development and Integrative Data Analysis for LINCS (U01)." It was intended to fund the development of new computational methods and software to integrate and interpret diverse datasets produced by the Library of Integrated Network-based Cellular Signatures (LINCS) program.
What is the main goal of this funding opportunity?
The main goal is to create computational "glue" that makes LINCS data broadly useful by enabling integrative analysis across multiple cellular signature data types. The expectation is that strong analytic tools will help researchers compare signatures, connect perturbations to cellular responses, and extract biological meaning and underlying mechanisms from heterogeneous datasets.
What types of projects were expected to be responsive?
Projects were expected to focus on innovative computational approaches for integrative analysis across multiple data types generated by LINCS. This includes developing methods, algorithms, and software that can combine, compare, and interpret diverse perturbation-induced cellular signature datasets to identify relationships among perturbations, responses, and mechanisms.
What does LINCS generate that these tools are meant to analyze?
LINCS generates many kinds of cellular "signature" data created after cells are exposed to a broad range of biological or chemical perturbations. The opportunity emphasizes that the value of these datasets depends heavily on computational methods that can integrate the different data streams and interpret them in a coherent, biologically meaningful way.
What is the funding mechanism for this opportunity?
This opportunity used the U01 cooperative agreement mechanism. A U01 is a cooperative agreement, which generally means awardees would work in closer coordination with NIH program staff than under a typical investigator-initiated research grant.
How does a cooperative agreement (U01) differ from a standard grant?
Based on the description provided, the key difference is the expected closer coordination with NIH program staff. In other words, the NIH would be more directly involved in coordination compared with a standard, more independently directed award.
How does this U01 program fit into the broader LINCS funding structure?
This U01 program was designed to complement (not duplicate) LINCS data-generation efforts funded separately under RFA-RM-10-003 (U54). The overall LINCS strategy described a coordinated ecosystem: U54 awards to generate data at scale, other initiatives to improve experimental technologies, and this U01 program to build computational tools that integrate, analyze, and maximize the usefulness of the resulting datasets.
What is RFA-RM-10-003 (U54), and how is it related?
RFA-RM-10-003 (U54) supported large-scale LINCS production centers that systematically generate perturbation-induced cellular signatures and contribute to a knowledge base aimed at discovering mechanism-based associations among perturbations and mapping functional relationships among cellular components. The U01 computational awards were meant to complement these major data-generation efforts rather than replicate them.
Was there another related FOA for technology development?
Yes. A separate FOA, RFA-RM-10-004, was anticipated to support technology development for improving how cellular signature data are generated. This RFA-RM-10-005 opportunity focused on computational methods and integrative analysis rather than experimental technology development.
How many awards did NIH expect to make?
NIH anticipated making up to four awards in fiscal year (FY) 2011, contingent on the submission of proposals judged to be scientifically strong.
What was the project period allowed under this opportunity?
Projects could request up to two years of support.
What was the budget limit for applicants?
Budgets were capped at $250,000 per year in direct costs.
What was the estimated total funding available for the program?
The estimated program funding level was about $1.4 million in FY2011 and $1.4 million in FY2012 (roughly $2.8 million total), contingent on the availability of funds and the receipt of scientifically meritorious applications.
Was cost sharing or matching required?
No. The opportunity did not require cost sharing or matching.
What agency sponsored this opportunity?
The sponsoring agency was the National Institutes of Health (NIH).
What is the CFDA number associated with this opportunity?
The CFDA listing provided for this opportunity was 93.310 (Trans-NIH Research Support).
How was this opportunity categorized in terms of funding type and instrument?
The announcement was categorized as discretionary funding and used the cooperative agreement funding instrument type.
What activity category was associated with this opportunity?
The activity category was listed as health.
When was the opportunity posted?
The opportunity was posted on August 6, 2010.
What were the closing and archive dates?
The original and current closing date was February 22, 2011. The archive date was March 25, 2011.
Who was eligible to apply?
Eligibility was broad and included many organization types: small businesses; for-profit organizations (including those other than small businesses); private and public institutions of higher education; nonprofits with and without 501(c)(3) status (including those outside higher education); state, county, and local governments (including city/township and special district governments); independent school districts; public housing authorities/Indian housing authorities; Native American tribal governments (federally recognized) and tribal organizations (including those not federally recognized); tribally controlled colleges and universities; U.S. territories or possessions; regional organizations; eligible agencies of the federal government; and non-U.S. entities (foreign organizations).
Were minority-serving institutions specifically referenced?
Yes. The eligibility notes referenced institution categories commonly highlighted in federal programs, including Alaska Native and Native Hawaiian Serving Institutions, Hispanic-Serving Institutions, Historically Black Colleges and Universities (HBCUs), and other specified eligible institution categories.
Could foreign (non-U.S.) organizations apply?
Yes. The eligibility list explicitly included non-U.S. entities (foreign organizations).
Could government entities apply?
Yes. Eligibility included state, county, and local governments (including city/township governments and special district governments), as well as eligible agencies of the federal government. It also included U.S. territories or possessions and regional organizations.
Could small businesses or for-profit organizations apply?
Yes. Eligibility included small businesses and for-profit organizations, including for-profits other than small businesses.
What kinds of outcomes was NIH aiming for through these awards?
The opportunity aimed to ensure LINCS datasets could be translated into actionable biological insight by investing in computational innovation. The intended outcomes emphasized tools, algorithms, and integrative analytic frameworks that can handle heterogeneous data streams, enable comparisons across perturbations and experimental systems, and support the broader goal of building a systematic, mechanism-oriented understanding of cellular responses.
Were applicants expected to generate LINCS data as part of this U01?
The description emphasizes that these computational awards were meant to complement, not duplicate, the major LINCS data-generation efforts supported under a separate U54 solicitation. This implies the primary focus here was computational tool development and integrative analysis rather than large-scale data production.
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