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This Government Contract opportunity from Department Of Veterans Affairs was posted on May 29, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Integrated Multi-Omics Data Analysis and Bioinformatics

Closed
Federal

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The contract involves a subcontract for integrated multi-omics data analysis and bioinformatics, focusing on the cross-platform integration of metabolomics, proteomics, and transcriptomics data. The primary objective is to identify diagnostic biomarkers for degenerative cervical myelopathy through the application of statistical modeling and machine learning techniques. This effort aims to leverage advanced computational approaches to uncover critical biological insights that can aid in the diagnosis and understanding of this neurological condition. Issued by the Department of Veterans Affairs under the NAICS code 541690, the solicitation was posted on May 29, 2026, with a response deadline set for June 5, 2026. While specific details such as location and point of contact are not provided, the contract reflects a strategic initiative to employ multi-disciplinary data integration methods and innovative analytics to enhance biomedical research capabilities, with particular relevance to veteran healthcare needs.

General Info

Subcontract for multi-omics data analysis to identify biomarkers diagnosing degenerative cervical myelopathy.

Agency

Department Of Veterans Affairs → Rpo East (36C24E)

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

PA

Set-Aside

NONE

Documents

(0)

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 Veterans Affairs → Rpo East (36C24E)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Veterans Affairs → Rpo East (36C24E)
Office AddressN/A
ContactsNo contact information available

Full Description

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Cross-platform integration of metabolomics, proteomics, and transcriptomics data to identify diagnostic biomarkers for degenerative cervical myelopathy using statistical modeling and machine learning.