Project Grant 2443386

Award Date 5/15/25
Completion Date 4/30/30
Dollars Obligated $277K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Norman, OK 73019, USA
Similar Awards
The National Science Foundation awarded a $749,997 project grant to The Johns Hopkins University from September 2021 through August 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). This funding supports collaborative research to develop integrated analysis of single-cell and spatially resolved omics data. The Computer and Information Science and Engineering program aims to advance computing, communications, and information science through...
The National Science Foundation (NSF) awarded a $162,510 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Oklahoma to develop algorithms for scalable inference and phylodynamic analysis of tumor haplotypes using low-coverage single-cell sequencing data. The goal is to create a phylodynamic framework to jointly infer cancer phylogenetic trees and evolutionary parameters from single-cell DNA sequencing data. This will enable cancer...
This $240,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award supports the development of a new class of computational frameworks that combine large language models with neural operator learning techniques to address key challenges in modeling spatiotemporal phenomena in biomedical research. The research aims to transform biological and medical studies by adapting...
This $741,002 federal Project Grant award from the National Science Foundation's Biological Sciences program supports the development of a novel machine learning framework for analyzing large-scale, multi-modal single-cell biological data. The project aims to construct advanced computational tools and user-friendly software to enable more effective extraction of insights and knowledge from complex single-cell datasets spanning genomics, transcriptomics, epigenomics, and proteomics. The...
The National Science Foundation awarded a $491,408 Project Grant to The Johns Hopkins University for research titled "CAREER: STATISTICAL APPROACHES AND COMPUTATIONAL TOOLS FOR ANALYZING SPATIALLY-RESOLVED SINGLE-CELL TRANSCRIPTOMICS DATA." The grant was awarded on July 15, 2021 under the Biological Sciences program (CFDA 47.074) to promote progress in the biological sciences and strengthen understanding of major problems facing the nation. The research aims to develop statistical...
This $256,710 National Science Foundation award under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project led by the University of Texas at Austin. The project investigates full-stack implementation methodologies for developing expressive programming systems that bridge the gap between high-level specifications and high-performance implementations of complex reasoning tasks at scale. Key focus areas include extending declarative...
This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to build a next-generation genomic data processing system that incorporates state-of-the-art systems design principles. The key innovations include: (1) improving cluster scheduling policy using workload characterization and an execution time predictor, (2) developing machinery for independently-scheduled genomic tasks with...
This $340,312 federal Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) aims to advance computational methods for large-scale transcriptome profiling. The award supports the development of innovative algorithms to improve the accuracy and scalability of computational methods for assembling and analyzing data from high-throughput RNA sequencing experiments. This work promises to enable more precise measurements of gene expression and...
This $564,510 National Science Foundation project grant under the Biological Sciences program (CFDA 47.074) will develop computational methods and tools to learn mechanisms in cell differentiation and development from complex, high-dimensional single-cell multi-omics data. The Georgia Tech Research Corporation will receive funding from September 1, 2022 to August 31, 2027 to analyze single-cell RNA sequencing, genome, chromatin accessibility, protein abundance and spatial location data. The...
The National Science Foundation (NSF) awarded a $212,365 Project Grant under the Computer and Information Science and Engineering (CISE) program to The University of Iowa for a project titled "DESIGNING STRUCTURE-PHENOTYPE QUERY-RETRIEVAL AND ANALYSIS SYSTEMS FOR MICROSCOPY-BASED WHOLE ORGANISM STUDIES". The project aims to develop algorithms and systems for integrated storage, querying, and analysis of complex structure-phenotype data generated from research studying the effects of...

This $277,308 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant, awarded on May 15, 2025, aims to develop novel computational and statistical methods for analyzing spatially-resolved single-cell genomics data. The overarching goal is to create algorithms that can identify spatial gene expression patterns, uncover changes and interactions within tissue samples, and develop an interactive analysis tool for researchers working with complex single-cell resolution datasets. This project, led by the University of Oklahoma, involves a strong educational component to further develop the bioinformatics program at the university and address national needs in STEM education. No sub-awards are planned under this grant.

Generated 7/1/25, 4:18 AM