Project Grant 2515805
- This Project Grant award of $434,472.00 from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research by Claremont McKenna College to develop novel computational methods for inferring microbial associations from microbiome data. The project aims to address challenges in determining the underlying covariance structure and modeling positive and negative interactions between microbial taxa. The resulting computational tools and algorithms will enable new...
- This federal Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) in the amount of $300,000 supports research by Duke University to develop an integrated experimental and computational approach to uncover the design principles governing microbiome function. The key objectives are to apply advanced machine learning techniques, high-throughput microbial community construction, and metabolomics to elucidate the molecular networks and cellular...
- This $985,496 Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research by the University of Rochester to develop an innovative platform for controlling and stabilizing microbial communities. The project aims to leverage horizontal gene transfer, specifically through plasmid conjugation, to dynamically balance growth rates and community composition, creating programmable microbial populations capable of maintaining stability across...
- The National Science Foundation (NSF) awarded a $599,999 Project Grant to the University of Southern California (USC) under the Computer and Information Science and Engineering (CFDA #47.070) federal grant program. The grant supports research and graduate student training focused on modeling, optimization, and analysis of biologically-inspired microbial community networks. Key areas of investigation include understanding the phenomenon of quorum sensing, which enables collective behaviors in...
- This $160,000 federal Project Grant award, funded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, supports collaborative research on the spatiotemporal dynamics of intercellular signaling in growing bacterial populations. The research aims to develop mathematical modeling techniques to better understand and predict the behavior of engineered multicellular bacterial systems, which have potential applications in areas like gut microbiome...
- This $763,538 federal Project Grant was awarded to the University of Chicago on July 15, 2024 by the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074). The project aims to understand the mechanistic basis of functional robustness in the soil microbiome, connecting detailed microbial processes to broader ecological and environmental outcomes like soil fertility and greenhouse gas emissions. The research objectives include elucidating how soil microbiomes respond to...
- This $180,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of novel community detection tools and frameworks for analyzing weighted network data, with a focus on applications in bioinformatics and biological science. The primary goals are to identify highly correlated gene modules by leveraging covariance or correlation matrix representations, and to provide a systematic, computationally...
- This $232,771 Project Grant, awarded on September 15, 2025, was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant aims to develop computational mathematical tools to better understand protein structures and interactions, even across a wide range of mutations. This interdisciplinary research combines mathematical modeling, machine learning, and biology to analyze the complex shapes of proteins, with the goal of enabling...
- This $700,000 Project Grant award from the National Science Foundation's (NSF) Biological Sciences (CFDA 47.074) Federal Grant Program supports a research project at Arizona State University (ASU) to "Elucidate, Understand, and Leverage 'Covert' Metabolic Interactions in Synthetic Microbial Communities". The project aims to reveal valuable, previously unknown microbial interactions that could be leveraged to engineer microbial communities for applications in food production, high-value...
- This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) federal Project Grant award of $200,000.00 to Oregon State University (OSU) aims to develop an artificial intelligence foundation model for soil microbiomes. Specifically, the project will create the Multi-Modality Microbiome Foundation Model (M3FM) to integrate diverse microbiome data sets and provide a more comprehensive framework for understanding soil microbiomes. The project will apply this model to two case studies:...
This $150,000 Project Grant was awarded on August 15, 2025 by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049). The grant supports the development of flexible and scalable cluster analysis methods to identify functional groups of microbes from longitudinal microbiome data. The project aims to expand traditional functional cluster analysis techniques by incorporating novel similarity measures, external factors, and a framework for clustering longitudinal profiles from multivariate non-normal data. The primary awardee, Oregon State University, will develop, distribute, and maintain R software packages for the new analysis methods, provide training materials, and test the software in real-world settings. This work supports the identification of microbial functional groups that may serve as biomarkers and therapeutic targets for improving human and animal health.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 8/5/25 |