The federal Project Grant award R43GM156154 was provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859). The $350,000 award supports the development of a neural network-accelerated DNA and RNA sequence processing node, called CLEDGESEQ, that can be used for distributed next-generation sequencing (NGS) data processing at the point of sequencing. The goal is to create a cost-effective and scalable computational solution for ubiquitous DNA and RNA sequencing to aid monitoring efforts aimed at tracking and assessing potential hazardous exposures. The project, conducted by Quantitative Biosciences, Inc. in San Diego, CA, will develop neural network routines to accelerate sequence mapping, assembly, and analysis for edge applications, and then integrate these into the CLEDGESEQ node platform. Successful completion of this project is expected to validate the use of modern neural network approaches for sequence analysis on edge hardware, transforming the ability to perform distributed and cost-effective NGS data processing.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $350.0k | 7/30/24 |