Project Grant R43GM156154

Award Date 8/1/24
Completion Date 7/31/25
Dollars Obligated $350K
Federal Grant Program
93.859
Assistance Type
Project Grant
Place of Performance
San Diego, CA 92121, USA
Similar Awards
This federal Project Grant award from the National Human Genome Research Institute (CFDA 93.172 - Human Genome Research) supports the development of a revolutionary DNA sequencing platform by Xgenomes Corp. The $384,418 award, active from September 2024 to May 2025, aims to construct a proof-of-concept for a super-resolution, single-molecule sequencing technology that can read short sequence "words" rather than individual nucleotides. The proposed approach uses advanced statistical and...
This Project Grant award from the National Human Genome Research Institute (NHGRI) under the Human Genome Research program (CFDA 93.172) provides $215,088 to Directseq Biosciences, Inc. to develop and test an "Exhaustive De Novo Sequencing of Every RNA in a Sample by a Layer-by-Layer Mass Spectrometry Ladder Intensity Approach." The project aims to create a comprehensive RNA sequencing and modification profiling method that can identify and sequence all RNA species in a sample...
This $900,000 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of custom hardware accelerators and software solutions to enable pervasive use of genome sequencing in precision healthcare. The three key objectives are: 1) designing domain-specific accelerators for whole genome sequencing and emerging genomics applications, 2) developing point-of-care pathogen detectors using real-time...
This Project Grant award from the National Institutes of Health's National Human Genome Research Institute (CFDA 93.172 - Human Genome Research) provides $406,500 to Directseq Biosciences, Inc. to advance their next-generation mass spectrometry-based sequencing (NGMS-SEQ) methods for high-throughput direct sequencing and quantitative mapping of RNA modifications. The key objectives are to: 1) enhance NGMS-SEQ techniques to enable direct sequencing of various tRNA samples, including...
This Project Grant award of $408,007 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to develop a technology called "glycosequencing" that uses next-generation sequencing (NGS) to sequence and quantify glycan structures. The project will first identify an optimal set of lectins, biochemically characterize them, and prepare lectin barcoding for NGS. It will also build a training dataset using recombinant proteins produced in glycoengineered Chinese...
This Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) is funding the development of a system to protect and concentrate large DNA molecules for genome analysis at the University of Nebraska. The $394,857 award, active from August 6, 2024 to July 31, 2027, aims to create an innovative system using 3D printing, a DNA "roadblock," and an inverted insert to protect and concentrate DNA...
This $752,456 Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) supports the development and application of innovative computational technologies for the design of small-molecule ligands. The key products and services to be delivered over the 5-year project period include: Creating a large database of predicted protein-ligand complexes to improve the accuracy of structure-based machine learning...
This $788,238 Project Grant awarded by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training Program (CFDA 93.859) supports the development of machine-learning-based and physics-based electronic structure and molecular simulation methods for multiscale modeling of enzymatic reactions and bioimaging probes. The key products to be delivered include: (1) robust active-learning protocols for training machine-learning potentials for ground...
Sequegenics LLC received a $251,073 Project Grant award from the National Science Foundation Division of Industrial Innovation under the Engineering federal grant program (CFDA 47.041). The grant supports development of low-cost and scalable methods for creating genomic databases using long-read next-generation DNA sequencing technologies. This aligns with the program's goals of fostering innovation in engineering research. The one-year project period runs from August 1, 2021 through July 31,...
The National Institute of General Medical Sciences (NIGMS) awarded a $389,653 Project Grant under the Biomedical Research and Research Training Program (CFDA 93.859) to The Research Foundation For The State University Of New York (RF-SUNY) at the University at Albany. This 5-year grant, effective January 1, 2025, will support the development of a transdisciplinary research program focused on AI-supported biosensing and precision therapeutics using DNA nanotechnology and synthetic biology. The...

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.

Generated 5/13/25, 2:29 AM