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This Government Contract opportunity from Department Of The Interior was posted on June 30, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

High-Resolution Taxonomic Identification and Bioinformatics Analysis

Closed
Federal

Contract Overview

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NAICS: 541715
New
Federal
Atomically Precise Molecules (APM)
Solicitation # DARPA-PS-26-141
The Atomically Precise Molecules (APM) program, solicitation DARPA-PS-26-141, is a 36-month initiative by the DARPA Multi X Office seeking innovative synthesis techniques for programmable precision polymers (PPPs) and nonlinear optical (NLO) materials. The program aims to develop scalable materials with strictly controlled monomer sequences and compositions, culminating in a prototype NLO material integrated into a government-provided electro-optic modulator capable of achieving greater than 1THz modulation. The effort is structured in two phases, with Phase I lasting 12 months and focusing on synthesis capabilities. Research limited to inorganic materials or incremental improvements to existing state-of-the-art practices is specifically excluded. Awards will be issued as Other Transaction for Prototype Agreements, with payments processed through the Wide Area Workflow system based on a schedule of milestones. Proposals are due by December 18, 2026, via the Broad Agency Announcement Tool and must include technical, management, and pricing volumes. Eligibility is restricted to U.S. organizations, and all performers must comply with CMMC Level 2 self-certification and NIST SP 800-171 standards for safeguarding Controlled Unclassified Information. Evaluation will be based on technical approach, relevance to the DARPA mission, budget realism, and the capability to transition the technology to military or commercial sectors.
Defense Advanced Research Projects Agcy

POSTED

1 day ago

DEADLINE

in about 2 months

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The contract seeks bioinformatics services to process high-throughput sequencing data with the goal of achieving precise species-level taxonomic identification. This includes performing sequence alignment, clustering sequences into OTUs or ASVs, and applying rigorous contamination filters to ensure data integrity and accuracy. The work must deliver robust, reproducible results suitable for downstream ecological or environmental analysis, requiring advanced computational pipelines and expertise in microbial or environmental genomics. This subcontract is issued by the Alaska State Office under the Department of the Interior, with a North American Industry Classification System code of 541715, indicating it targets research and development in the physical, engineering, and life sciences. The opportunity was posted on June 30, 2026, and proposals must be submitted by July 8, 2026. There is no set-aside designation specified, and the place of performance is not detailed, suggesting the work may be performed remotely or at the contractor’s facility. The focus is strictly on computational analysis, with no laboratory sequencing or sample collection requirements implied.

General Info

Bioinformatics services for high-throughput sequencing data to achieve precise species-level taxonomic identification via computational analysis.

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

AK

Set-Aside

NONE

Documents

This scope was carved out of 140L6326Q0019.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

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F--eDNA PROCESSING

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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 The Interior → Alaska State Office
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Conduct bioinformatics processing of sequencing data to achieve species-level taxonomic resolution, including sequence alignment, OTU/ASV clustering, and contamination filtering.

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