Opportunity Information: Apply for F19AS00210

The Department of the Interior, U.S. Fish and Wildlife Service is offering a discretionary cooperative agreement opportunity focused on improving how quantitative PCR (qPCR) genetic data are managed and analyzed. The central goal is to strengthen the reproducibility of qPCR data analysis workflows by funding the development of automated tools that can cope with the volume and complexity of qPCR outputs. In practical terms, the work is meant to reduce manual handling of data, standardize analysis steps, and make it easier for analysts to repeat or verify results across studies, projects, and time.

A key emphasis of the opportunity is building automation that can process both validation data and field data. qPCR projects often generate large datasets during assay validation (for example, establishing sensitivity, specificity, limits of detection, and performance across conditions) and then produce additional streams of field-generated results once the assay is deployed operationally. The Service is looking for tooling that can ingest, clean, organize, and reduce these datasets in a consistent way, which helps minimize human error and supports transparent, repeatable analytical pipelines.

In addition to automated analysis and data reduction tools, the opportunity specifically calls for queryable relational databases designed to house the different types of qPCR data generated. This points to a structured data management solution where qPCR results, metadata, validation metrics, sample identifiers, run information, controls, and other relevant records can be stored in an organized schema and retrieved through queries. The intent is not only storage, but also usability: users should be able to search, filter, join, and extract data efficiently for quality assurance, reporting, and downstream analysis, all while preserving data provenance and making the workflow easier to reproduce.

This funding opportunity (number F19AS00210) falls under environment, natural resources, and science and technology research and development, and is associated with CFDA number 15.678. The eligible applicants are public and state-controlled institutions of higher education, indicating the program is aimed at universities and similar public academic entities with the technical capacity to build bioinformatics or data engineering solutions in partnership with the Service. Because the award instrument is a cooperative agreement, it implies substantial involvement or collaboration by the Fish and Wildlife Service during the project, rather than a hands-off grant relationship, which is typical when an agency expects to participate in technical direction, coordination, or iterative development.

The award ceiling is $200,000, with one expected award, so the agency is likely seeking a single project team to deliver a cohesive set of tools and database capabilities rather than funding multiple parallel efforts. The opportunity was created on May 14, 2019, and originally closed on May 21, 2019, reflecting a short application window at the time. Overall, the opportunity is aimed at modernizing and standardizing qPCR data workflows through automation and well-designed relational databases so that results are easier to manage, analyze, audit, and reproduce across conservation, environmental monitoring, and related genetic applications.

  • The Department of the Interior, Fish and Wildlife Service in the environment, natural resources, science and technology and other research and development sector is offering a public funding opportunity titled "Development of automated tools and databases useful for genetic data reduction and analysis" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.678.
  • This funding opportunity was created on May 14, 2019.
  • Applicants must submit their applications by May 21, 2019. (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 $200,000.00 in funding.
  • The number of recipients for this funding is limited to 1 candidate(s).
  • Eligible applicants include: Public and State controlled institutions of higher education.
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