Project Grant R00HG013343
- The Trustees of Columbia University in the City of New York received a $435,475 Project Grant from the National Human Genome Research Institute (NHGRI) under the "Human Genome Research" (CFDA 93.172) program. The grant funds the development of novel machine learning methods for analyzing spatial transcriptomic data without the need for paired single-cell data. The proposed computational toolbox will enable the characterization of diverse cell states and their spatial dynamics through...
- The National Science Foundation Division of Emerging Frontiers awarded the University of North Carolina at Chapel Hill a $382,770 Project Grant under the Biological Sciences (47.074) federal grant program to conduct research titled "Functional Genomics of Spatial Memory" from January 1, 2022 to December 31, 2024. The Biological Sciences program aims to promote progress in the biological sciences and strengthen the nation's scientific enterprise through increasing knowledge and...
- The National Human Genome Research Institute (NHGRI), through the Human Genome Research program (CFDA 93.172), awarded a $444,125 Project Grant to the Rector & Visitors of the University of Virginia (UVA) to develop computational models that accurately quantify open chromatin bias and TN5 intrinsic cleavage bias in both bulk and single-cell Cleavage Under Targets & Tagmentation (CUT & TAG) data. The models will characterize how these biases affect the detection of histone...
- The National Human Genome Research Institute (NHGRI) awarded a $400,000 Project Grant (CFDA 93.172 - Human Genome Research) to the University of Washington to develop new single-cell multi-omic technologies for studying the relationship between three-dimensional genome organization and gene expression. Specifically, the grant will fund the development of CARE-Seq, a novel method to jointly measure whole-genome chromatin interactions and gene expression in the same single cells from complex...
- The University of Washington was awarded a $2,217,249 federal Project Grant from the National Human Genome Research Institute (CFDA 93.172 Human Genome Research) on September 10, 2025 to develop advanced sequence-to-function (S2F) deep learning models that can accurately predict the subtle gene expression consequences arising from natural genetic variations. The project aims to address two key challenges: 1) current models struggle to generalize across diverse genotypes found in personal...
- This $993,446 Project Grant award from the National Human Genome Research Institute (CFDA 93.172 Human Genome Research) supports the development of statistical and machine learning approaches to decode the regulatory activity underlying disease variants, link variants to genes in relevant cell types, and identify disease-critical cooperative programs of genes and genomic elements. The goal is to produce computational tools and workflows that can identify and rank functionally disease-critical...
- The National Human Genome Research Institute (NHGRI) awarded a $486,000 Project Grant (CFDA 93.172 - Human Genome Research) to The Johns Hopkins University to develop a Genomic Medicine Master of Science (M.S.) degree program. The program will provide advanced training to prepare health professionals and trainees with the knowledge and skills required to manipulate, annotate, and interpret human genome data, as well as a foundation for pursuing genomics research. The project leverages the...
- The National Human Genome Research Institute (NHGRI), under the Human Genome Research Federal Grant Program (CFDA 93.172), awarded a $1,341,011 Project Grant to the University of Pittsburgh to develop a novel computational framework that leverages deep learning and causal discovery algorithms. The goal is to uncover individualized cell-cell communication networks underlying the heterogeneity of tissue environments. This framework aims to model causal relationships between cellular states and...
- The National Human Genome Research Institute (NHGRI) awarded the University of Wisconsin System a $407,645 Project Grant under the "Human Genome Research" (CFDA 93.172) program to develop statistical methods for constructing gene co-expression networks from population-scale single-cell RNA sequencing (scRNA-seq) data. The two-year project aims to: 1) develop a de-biasing approach to estimate gene-gene correlations from scRNA-seq data, accounting for technical limitations like low...
- The National Human Genome Research Institute (CFDA 93.172 - Human Genome Research) awarded a $550,810 Project Grant to the University of California, Irvine (UCI) to develop an innovative AI-assisted Laser Capture Microdissection (AI-LCM) approach for spatial transcriptomics. This method aims to provide high-throughput, comprehensive spatial transcriptomics analysis with single-cell resolution and genome-wide coverage. The key products/services include: Optimizing in situ generation and...
The University of North Carolina at Chapel Hill received a $249,000 Project Grant from the National Human Genome Research Institute (CFDA 93.172 - Human Genome Research) on September 23, 2025. The grant supports the development of semi-supervised machine learning integration tools to predict various types of single-cell genomic and proteomic profiles, such as chromatin accessibility and spatial locations, from known gene expression measurements. The two-year training program aims to guide the candidate's scientific and professional development in this field under the mentorship of Dr. Noble and an advisory committee. Key research objectives include computationally filling in gaps of single-cell time series data, predicting physical cell locations from dissociated measurements, and inferring single-cell proteomics profiles from genomics and bulk assays. This grant represents part of NHGRI's broader efforts to advance foundational genomics research, technology development, and the application of genomics to medical science and clinical care.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $249.0k | 9/23/25 |