HIVE Dragen Appliance Software

Past New Requirement Updated

Agency
Solicitation expected
Estimated value
$25,000 to $250,000
Set-aside
No set-aside

Forecast facts

Anticipated award
NAICS code
541519 Other Computer Related Services
Points of contact

Forecast details come from HHS's procurement forecast. Agencies' dates and values are estimates.

About this forecast

The Food and Drug Administration (FDA) is forecasting a procurement for the HIVE Dragen Appliance Software, a sophisticated genomic analysis platform utilizing field-gate programmable array (FPGA) technology. The contract is estimated to be solicited on July 1, 2026, with an anticipated award date of September 1, 2026, classified under NAICS code 541519 for Computer Related Services. The primary objective is to acquire a high-performance computing solution capable of rapidly processing genomic data with exceptional speed and accuracy.

The Dragen Appliance Software enables advanced genomic analysis, with capabilities to process a human genome with 30x coverage in approximately 25 minutes, significantly faster than traditional systems. While specific budget details are not provided, the procurement is for a complex bio-informatics technology solution that can analyze whole genomes, whole exomes, targeted panels, and RNA sequencing with high sensitivity. The primary point of contact is Joshua Holliday, who can be reached at joshua.holliday@fda.hhs.gov, representing the FDA's procurement team for this innovative computational genomics technology.

Forecast text

The HIVE utilizes the Dragen Appliance Software. The Illumina DRAGEN Appliance is a computer that uses field-gate programmable array (FPGA) based technology to provide hardware acceleration for genomics analysis, including BCL conversion, mapping, alignment, sorting, duplicate marking, and haplotype variant calling. Processing a human genome with 30x coverage takes about 25 minutes as compared to overnight on a traditional system. The DRAGEN Bio-IT Platform software uses the FPGA acceleration to rapidly detect variants with high sensitivity and specificity, and to analyze data from whole genomes, whole exomes, targeted panels, germline and somatic datasets, and RNA sequencing.

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