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.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $175.0k | 2/16/22 |