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 integrates deep learning and causal discovery algorithms. The goal is to unveil individualized cell-cell communication networks underlying tissue environment heterogeneity across normal and disease conditions. The framework will leverage single-cell...
The National Human Genome Research Institute (NHGRI) awarded a $259,446 Project Grant under the Human Genome Research program (CFDA 93.172) to the University of Washington for a 2-year research project. The project aims to develop semi-supervised machine learning integration tools that can predict undercharacterized single-cell genomic and proteomic profiles, such as chromatin accessibility, spatial locations, and proteomics, from known measurements like gene expression. Key objectives include...
The National Human Genome Research Institute (NHGRI), under the Human Genome Research Federal Grant Program (CFDA 93.172), awarded a $993,446 Project Grant to the Sloan-Kettering Institute for Cancer Research. The 5-year grant, effective May 1, 2025, will support 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 gene programs and genomic...
The National Human Genome Research Institute (NHGRI) awarded a $594,501 Project Grant (CFDA 93.172 - Human Genome Research) to Cold Spring Harbor Laboratory to develop a unified probabilistic model and software implementation for analyzing nascent RNA sequencing data. The project aims to create powerful computational tools that can accelerate transcriptional research by enabling the estimation of transcriptional rates directly from nascent RNA sequencing data, with applications in areas such...
The National Human Genome Research Institute (NHGRI) awarded a $1,711,422 Project Grant (CFDA 93.172 - Human Genome Research) to the New York Genome Center, Inc. (NYGC) on September 23, 2024. The goal of this project is to develop a suite of privacy-preserving tools for transcriptomic data analysis, including methods for quantifying bulk and single-cell gene expression, as well as performing expression quantitative trait locus (eQTL) mapping on encrypted genotypes. This will enable large-scale...
The National Human Genome Research Institute (NHGRI), under the Federal Grant Program "Human Genome Research" (CFDA 93.172), awarded a $407,291 Phase I Small Business Innovation Research (SBIR) grant to Electronic Biosciences, Inc. to develop a nanopore-based protein sequencing platform. The project aims to create a high-accuracy, label-free nanopore reader capable of direct, single-molecule protein sequencing. This novel technology would enable proteome-wide profiling, biomarker...
The National Human Genome Research Institute (NHGRI), under the 93.172 Human Genome Research federal grant program, awarded a $3,377,867 Project Grant to Survey Genomics, Inc. on September 19, 2024. The grant supports the development and commercialization of the CytopeDrop platform, an innovative approach for spatially-resolved single-cell multiomics analysis. CytopeDrop enables researchers to simultaneously obtain mRNA abundances, protein abundances, and cell locations, providing crucial...
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 (NHGRI), under the Human Genome Research program (CFDA 93.172), awarded a $1,801,654.98 Project Grant to the University of California, Berkeley on September 10, 2024. The grant aims to develop scalable computational methods and tools for genealogical inference across multiple timescales, from species-level to single-cell genomics. Key objectives include: 1) Accelerating maximum likelihood estimation for models of molecular evolution, 2) Improving...
This Project Grant award, valued at $491,366, was issued by the National Human Genome Research Institute (NHGRI) under the Human Genome Research federal grant program (CFDA 93.172). The award is focused on developing new algorithms to robustly map disease-associated genetic variants to critical target genes, particularly in underrepresented populations. Key objectives include: Improving the ability to identify disease-critical genes in non-European populations where data is limited. Developing...