This $504,949 Project Grant awarded by the National Human Genome Research Institute (NHGRI) under the Human Genome Research federal grant program (CFDA 93.172) will support the development of advanced machine learning models to integrate Hi-C chromatin structure data with other genomic data types such as RNA-seq, ATAC-seq, and genome sequence.
The key products and services to be delivered include:
Extending the SAGITTARIUS model to analyze Hi-C time-series data and enable spatio-temporal...
This Project Grant award from the National Human Genome Research Institute (NHGRI), under the Human Genome Research federal grant program (CFDA 93.172), aims to develop new analytical methods and software tools to address challenges in unsupervised analyses of multi-sample single cell genomic data. The $361,069 award to The Johns Hopkins University will fund the creation of tools to infer temporal progression of sample phenotype, harmonize data across samples and modalities, and enable...
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...
This $131,338 Project Grant award from the National Human Genome Research Institute (NHGRI) under the Human Genome Research (CFDA 93.172) program supports research to identify the functional consequences of variations in nuclear architecture on transcriptional and post-transcriptional regulation, and the role of this variation in human health and disease.
Specifically, the research aims to: 1) Use novel deep learning models to predict Hi-C contacts from nucleotide sequences across 80 human...
The National Human Genome Research Institute (NHGRI), through the Human Genome Research program (CFDA 93.172), awarded a $1,273,296 Project Grant to the University of Washington to conduct research aimed at integrating the impacts of genetic variation with massively parallel mRNA and protein barcoding. The key products and services to be delivered under this project include:
Conducting high-throughput reporter assays to characterize how variants in coding and untranslated regions impact...
This federal Project Grant award from the National Human Genome Research Institute (NHGRI), under the Human Genome Research program (CFDA 93.172), totaling $635,216 and running from March 1, 2025 to February 28, 2030, aims to develop a novel computational framework that integrates deep learning and causal discovery algorithms. The goal is to unveil individualized cell-cell communication networks (CCCNs) underlying tissue environment heterogeneity across normal and disease conditions. The...
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...
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 Human Genome Research Institute (NHGRI), a component of the National Institutes of Health (NIH), awarded a $1,038,898.88 Project Grant (CFDA 93.172 - Human Genome Research) to the Dana-Farber Cancer Institute in Boston, MA. The grant, with a performance period from August 1, 2024 to April 30, 2028, aims to develop novel approaches for integrating single-cell data with genome-wide association studies (GWAS) to identify disease-relevant cell states, fine-map disease variants 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...