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This Government Contract opportunity from Department Of Commerce was posted on May 20, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Bioinformatics and Epigenetic Model Development

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Federal

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The contract involves the development of machine learning models, specifically elastic net regression, to predict the age of fish based on methylation data. This predictive modeling effort requires validation using otolith aging techniques to ensure accuracy and reliability. Deliverables include the complete codebase for the models, detailed reports outlining the methodology and findings, and comprehensive performance metrics to assess the effectiveness of the developed models. Issued by the Department of Commerce's NOAA office, the subcontract has a submission deadline set for early June 2026 and is categorized under NAICS code 541690, which pertains to scientific research and development services. The work is to be performed in Woods Hole, reflecting a focus on marine biology or related fields, with the intent of enhancing bioinformatics and epigenetic tools for fisheries science. The contract supports advances in understanding fish age determination through innovative data-driven approaches.

General Info

Develop elastic net models predicting fish age from methylation data, validated by otolith aging, due June 2026.

Agency

Department Of Commerce Noaa

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

Woods Hole, MA, USA

Set-Aside

NONE

Documents

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No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Commerce Noaa
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Commerce Noaa
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop machine learning models (e.g., elastic net regression) to predict fish age from methylation data. Validate against otolith aging and deliver code, reports, and performance metrics.