Project Grant 2153205

Award Date 5/1/22
Completion Date 4/30/24
Dollars Obligated $175K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Colorado Springs, CO 80918, USA
Similar Awards
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $200,000 in funding to The Trustees of the University of Pennsylvania to conduct collaborative research that aims to understand genomic organization in the cell nucleus. The research team will employ an integrated approach leveraging biophysical modeling, super-resolution imaging, and machine learning to develop predictive models of how chromatin structure and...
This $120,227 project grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program supports research at Northeastern University to develop a new theoretical approach for studying the three-dimensional architecture and conformational ensembles of genes and gene clusters. The project aims to: (i) model the mechanics of chromatin at the gene scale, (ii) investigate how genomic conformations are affected by factors like supercoiling and...
This $196,673 federal Project Grant award, funded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program, supports collaborative research at Yale University to develop a predictive framework for understanding how the physical microenvironment influences 3D genome organization and gene expression. The project will integrate super-resolution microscopy, genomics, biophysical modeling, and machine learning to decode the relationship between the...
This five-year, $997,720 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop new mathematical models and algorithms for genetic data analysis using deep learning techniques. Funded through the NSF's statutory mission to support basic research, the award will support research at Cornell University from July 2022 through June 2027. Specifically, the principal investigator will create novel deep generative models to replace...
This Project Grant award, funded by the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083), aims to advance the field of spatially-resolved cellular molecular profiling. The $276,308 award, which runs from May 2025 to April 2030, supports the development of novel computational and statistical methods to identify spatial gene expression patterns and study tissue changes in development or disease conditions. Key objectives include: Developing a novel algorithm for...
This $653,880 Project Grant awarded by the National Human Genome Research Institute (NHGRI) under the Human Genome Research program (CFDA 93.172) supports the development of a high-content, image-based CRISPR screening platform to discover regulators of three-dimensional (3D) genome architecture across multiple length scales. The goal is to advance screening technology to enable large-scale, multi-omic analysis of the spatial organization of the genome, nucleome, and transcriptome. Key...
This four-year, $1.388 million project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research between New York University and other organizations to discover the principles of active self-organization in the differentiating genome. The research will integrate state-of-the-art live cell experiments with multiscale mathematical and computational models of chromatin dynamics in the cell nucleus. Experiments will...
This National Science Foundation project grant of $1,011,518 supports collaborative research between the University of California, San Diego and the State of California Controller's Office to discover the principles of active self-organization in the differentiating genome. The award period is from July 1, 2022 through June 30, 2026 under the Mathematical and Physical Sciences program (CFDA 47.049). The project will integrate state-of-the-art live cell experiments with multiscale mathematical...
This $292,727 Project Grant award from the National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310) supports a research project by The Broad Institute, Inc. to discover novel regulators of 3D genome organization. The project aims to leverage large-scale genomic datasets to predict and experimentally validate new trans-acting factors that regulate chromatin interactions and genome architecture. By applying deep neural network models to in silico genetic...
The National Human Genome Research Institute (NHGRI) awarded a $504,949 Project Grant (CFDA 93.172 - Human Genome Research) to the University of Washington to develop advanced machine learning models that integrate Hi-C chromatin contact data with other genomics data types. The project aims to: 1) Extend the SAGITTARIUS model to analyze Hi-C time-series data and study the dynamic interplay between gene expression and chromatin structure during biological processes; 2) Develop a graph-based...

This two-year project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop deep learning methods for high-resolution three-dimensional genome structure spatial reconstruction. With a total funding amount of $175,000, the award was issued on May 1, 2022 to the University of Colorado Colorado Springs to complete the project by April 30, 2024.

The grantee will apply sophisticated and automated deep learning approaches to infer patterns and structures from increasingly complex genomic datasets involving single-cell, multi-cell, and subcellular data from multiple individuals and cell types. Specifically, the project seeks to gain detailed insights into the structural architecture of chromosomes and genomes at a high resolution through improved understanding of chromosome organization within cells. This will further development of three-dimensional chromosome structure reconstruction methods using genomic technologies based on chromosome conformation capture techniques, particularly Hi-C data. Overall, the award aims to advance computational analysis of spatial genome organization.

Generated 1/6/24, 11:53 PM