Opportunity Information: Apply for RFA HG 10 018

  • The National Institutes of Health in the health sector is offering a public funding opportunity titled "Informatics Tools for High Throughput Sequence Data Analysis (U01)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.172 Human Genome Research.
  • This funding opportunity was created on Dec 13, 2010 and posted on Dec 13, 2010.
  • Applicants must submit their applications by Mar 3, 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 $16,000,000.00 to eligible and selected applicants.
  • Each selected applicant is eligible to receive up to $750,000.00 in funding.
  • Eligible applicants include: For profit organizations other than small businesses Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Independent school districts Public and State controlled institutions of higher education Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education State governments Native American tribal governments (Federally recognized) Small businesses Special district governments Private institutions of higher education Public housing authorities/Indian housing authorities Others (see text field entitled Additional Information on Eligibility for clarification) Native American tribal organizations (other than Federally recognized tribal governments) City or township governments County governments.
  • Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Eligible Agencies of the Federal Government Faith based or Community based Organizations 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.
Apply for RFA HG 10 018

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Opportunity Summary:

The government grant opportunity titled "Informatics Tools for High Throughput Sequence Data Analysis (U01)" (Funding Opportunity Number RFA HG 10 018) is a National Institutes of Health (NIH) funding announcement in the Human Genome Research area (CFDA 93.172). It was posted on December 13, 2010, with an original and current application closing date of March 3, 2011, and an archive date of April 3, 2011. The mechanism is a cooperative agreement (U01), which typically means projects are expected to involve substantial interaction with NIH staff during the course of the work, beyond what is common in a standard grant. There is no cost sharing or matching requirement noted.

The central goal of the opportunity is to strengthen and mature computational software tools that already exist and are used with contemporary DNA sequencing technologies. The emphasis is not simply on inventing new algorithms as prototypes, but on taking tools that are already in use or clearly promising and pushing them to a level where they are robust, reliable, well documented, and properly supported. In practice, this points to software engineering and community-readiness outcomes: stability under real-world workloads, clear installation and usage pathways, reproducible performance, thorough documentation, test coverage and validation, responsive user support plans, and a design that makes adoption straightforward for typical biological or biomedical research labs rather than only for specialized bioinformatics groups.

The FOA highlights a wide range of high-throughput sequencing data tasks that these improved tools may address. Examples explicitly called out include sequence quality assessment (tools that help users understand error rates, biases, contamination, or instrument-related artifacts), alignment (mapping reads to reference genomes), assembly (reconstructing sequences, including de novo or reference-guided approaches), variant calling (identifying SNPs, indels, structural variants, and related changes), and interpretation of variants (helping researchers and clinicians evaluate the potential significance of detected variation). The scope is intentionally broad, also welcoming other applications where there is an existing or anticipated near-future need among many investigators or clinicians working with large volumes of sequencing data. That framing signals that NIH was looking for tools with general utility and a broad user base, not narrow one-off pipelines for a single project.

Applicants could propose either stand-alone tools or integrated suites of programs. A stand-alone tool might focus on doing one job extremely well (for example, a high-performance variant caller with strong QC reporting and well-tested outputs). An integrated suite might cover multiple steps in a processing workflow, such as QC plus alignment plus post-processing and reporting. Either approach is considered responsive as long as the outcome is software that can be readily adopted by the wider community and can handle the scale and complexity of data produced by contemporary sequencing instruments. Implicitly, this includes attention to computational efficiency, memory use, scalability to many samples, and compatibility with the data formats and workflow styles common in sequencing centers and research labs.

Funding details indicate an estimated total program funding level of $16,000,000, with an award ceiling of $750,000. While the announcement excerpt does not list the expected number of awards or project periods, those figures convey that NIH anticipated supporting multiple awards and expected individual projects to be sized to deliver tangible, production-grade improvements rather than small exploratory efforts. Because this is a cooperative agreement, awardees would generally be expected to coordinate with NIH on milestones, progress expectations, and community impact, which often aligns well with tool-building projects that have clear deliverables like releases, documentation, validation benchmarks, and dissemination plans.

Eligibility is broad and includes many organization types: for-profit organizations (including small businesses and for-profits other than small businesses), nonprofit organizations (including those with and without 501(c)(3) status), public and private institutions of higher education, independent school districts, state and local governments (including city/township and county governments), special district governments, Native American tribal governments and tribal organizations, public housing authorities/Indian housing authorities, and U.S. territories or possessions. The eligibility information further clarifies inclusion of Alaska Native and Native Hawaiian Serving Institutions, Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, regional organizations, and non-U.S. entities (foreign organizations). In short, the FOA was designed to attract strong software-development proposals from academia, industry, and a variety of public or community-serving institutions, reflecting the cross-sector nature of sequencing informatics.

For access and assistance, the opportunity provides a link to the full NIH announcement (http://grants.nih.gov/grants/guide/rfa files/RFA HG 10 018.html) and directs technical or access questions to the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV. Overall, the opportunity is best understood as an NIH effort to move sequencing informatics tools from “works in a skilled lab” to “works reliably anywhere,” focusing on software quality, usability, documentation, and support so that research and clinical teams handling high-throughput sequencing data can confidently adopt these tools at scale.

Frequently Asked Questions (FAQs)

What is the title of this government grant opportunity?

The opportunity is titled "Informatics Tools for High Throughput Sequence Data Analysis (U01)."

What is the Funding Opportunity Number?

The Funding Opportunity Number is RFA HG 10 018.

Which agency is offering this funding opportunity?

This is a National Institutes of Health (NIH) funding announcement in the Human Genome Research area.

What is the CFDA number for this opportunity?

The CFDA number listed is 93.172.

When was the opportunity posted?

The opportunity was posted on December 13, 2010.

What is the application due date?

The original and current application closing date is March 3, 2011.

When was this opportunity archived?

The archive date is April 3, 2011.

What funding mechanism is used for this opportunity?

The mechanism is a cooperative agreement (U01).

What does a U01 cooperative agreement imply for how the project will be run?

A U01 typically means projects are expected to involve substantial interaction with NIH staff during the course of the work, beyond what is common in a standard grant.

Is cost sharing or matching required?

No cost sharing or matching requirement is noted in the provided information.

What is the main goal of this funding opportunity?

The central goal is to strengthen and mature computational software tools that already exist and are used with contemporary DNA sequencing technologies, emphasizing robustness, reliability, documentation, and support rather than prototype-only algorithm development.

Is this opportunity focused on creating entirely new algorithms?

The emphasis is not simply on inventing new algorithms as prototypes. It is focused on taking tools that are already in use or clearly promising and maturing them into robust, reliable, community-ready software.

What kinds of improvements is NIH looking for in supported software tools?

The opportunity points toward software engineering and community-readiness outcomes such as stability under real-world workloads, clear installation and usage pathways, reproducible performance, thorough documentation, test coverage and validation, responsive user support plans, and designs that make adoption straightforward for typical biological or biomedical research labs.

What sequencing data tasks can the improved tools address?

Examples explicitly included are sequence quality assessment, alignment, assembly, variant calling, and interpretation of variants. The scope is broad and welcomes other applications where there is an existing or near-future need among many investigators or clinicians working with large volumes of sequencing data.

What is meant by sequence quality assessment in this context?

Sequence quality assessment refers to tools that help users understand error rates, biases, contamination, or instrument-related artifacts in high-throughput sequencing data.

What is meant by alignment, assembly, and variant calling in this context?

Alignment refers to mapping reads to reference genomes. Assembly refers to reconstructing sequences, including de novo or reference-guided approaches. Variant calling refers to identifying SNPs, indels, structural variants, and related changes.

What is meant by interpretation of variants?

Interpretation of variants refers to tools that help researchers and clinicians evaluate the potential significance of detected variation.

Are proposals required to be stand-alone tools, or can they be integrated suites?

Applicants could propose either stand-alone tools or integrated suites of programs.

What is an example of a stand-alone tool that would be responsive to this opportunity?

A stand-alone tool might focus on doing one job extremely well, such as a high-performance variant caller with strong QC reporting and well-tested outputs.

What is an example of an integrated suite that would be responsive to this opportunity?

An integrated suite might cover multiple steps in a processing workflow, such as QC plus alignment plus post-processing and reporting.

What characteristics make a tool "community-ready" under this opportunity?

Community-ready tools are those that can be readily adopted by the wider community, are robust and reliable, are well documented and properly supported, and can handle the scale and complexity of data produced by contemporary sequencing instruments.

Does the opportunity emphasize scalability and performance?

Yes. The framing implicitly includes attention to computational efficiency, memory use, scalability to many samples, and compatibility with common sequencing data formats and workflow styles used in sequencing centers and research labs.

How broad is the intended user base for tools supported by this opportunity?

The opportunity signals NIH was looking for tools with general utility and a broad user base, not narrow one-off pipelines built for a single project.

What is the estimated total program funding level?

The estimated total program funding level is $16,000,000.

What is the award ceiling?

The award ceiling is $750,000.

Does the provided information state how many awards will be made or the project period length?

No. The excerpt does not list the expected number of awards or project periods.

What does the combination of total program funding and award ceiling suggest?

It suggests NIH anticipated supporting multiple awards and expected individual projects to be sized to deliver tangible, production-grade improvements rather than small exploratory efforts.

Who is eligible to apply?

Eligibility is broad and includes for-profit organizations (including small businesses and other for-profits), nonprofit organizations (with and without 501(c)(3) status), public and private institutions of higher education, independent school districts, state and local governments, special district governments, Native American tribal governments and tribal organizations, public housing authorities/Indian housing authorities, and U.S. territories or possessions.

Are specific types of institutions explicitly included in the eligibility language?

Yes. The eligibility information further clarifies inclusion of Alaska Native and Native Hawaiian Serving Institutions, Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, regional organizations, and non-U.S. entities (foreign organizations).

Are non-U.S. (foreign) organizations eligible?

Yes. Non-U.S. entities (foreign organizations) are included in the eligibility information provided.

Where can applicants find the full NIH announcement?

The opportunity provides a link to the full NIH announcement at http://grants.nih.gov/grants/guide/rfa files/RFA HG 10 018.html.

Who should be contacted for technical or access questions?

Technical or access questions are directed to the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.

In plain terms, what is NIH trying to accomplish with this opportunity?

The opportunity is best understood as an effort to move sequencing informatics tools from "works in a skilled lab" to "works reliably anywhere," focusing on software quality, usability, documentation, and support so research and clinical teams can confidently adopt these tools at scale.

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