Project Grant R35GM160300
- This federal Project Grant award of $359,490.00 was provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859). The award funds the development of a suite of deep learning methods for "Single-Cell Genetics," which aims to integrate cutting-edge single-cell genomic data into genetic analysis to address challenges in disease genetics, including variant interpretation, gene discovery, cell...
- This federal Project Grant award from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), is providing $460,625.00 to the University of Massachusetts Medical School (UMASS Medical) to reconstruct gene regulatory networks (GRNs) using population-scale and atlas-scale single-cell datasets. The goal is to overcome challenges in data sparsity and scalability, as well as limitations in existing causal inference methods...
- This federal Project Grant award of $459,250.00, provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), supports research to develop a systematic approach for detecting regulatory RNAs and their functional motifs based on RNA-protein interactions. The key research objectives include: Investigating whether RNA regulates the genomic occupancies of chromatin-associated proteins (CAPs). Employing an...
- This federal Project Grant award of $1,968,575.00 from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), is focused on developing computational approaches and machine learning methods to predict DNA-binding specificities for transcription factor proteins and the functional effects of genetic variants within proteins. The overarching goal is to gain a predictive understanding of proteins, their interactions,...
- 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...
- This federal Project Grant award of $393,093, provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), supports a research project titled "Uncovering Spatio-Temporal, Mechano-Transcriptomic Signatures of Development". The principal investigator is Bianca Dumitrascu. The goal of this 5-year project is to understand the interplay between gene expression, cell morphology, and tissue-level mechanics in...
- This federal Project Grant award for $1,312,212 from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program will support research to develop an advanced DNA language model. The primary goal is to use natural language processing techniques to better understand the role and functionality of DNA sequences, especially non-coding regions, which could lead to advancements in areas like genetic testing and personalized medicine. The...
- The federal Project Grant award of $420,984.00 from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) supports research to develop statistical methods for analyzing deep mutational scanning (DMS) data. The research aims to improve the interpretation of DMS experiments, which can measure how genetic variants affect protein function, in order to better understand the mechanisms underlying basic biology and...
- This federal Project Grant award of $267,098 was provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) to the University of California, Los Angeles (UCLA) on August 1, 2025. The project, titled "Learning Gene Regulatory Networks under Latent Confounding and Data Dependence," aims to develop statistical methods to infer the structure of gene regulatory networks (GRNs) and identify direct causes of...
- The U.S. Department of Health and Human Services, National Institute of General Medical Sciences (NIGMS) awarded a $449,625 Project Grant under the Biomedical Research and Research Training program (CFDA 93.859) to Trustees of Boston University. The grant, awarded on September 15, 2025, supports research to develop new experimental strategies and computational approaches for studying single-cell gene expression trajectories. The overarching goal is to enable foundational advances in...
This federal Project Grant award from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), provides $460,625 to the University of Massachusetts Medical School (UMASS Medical) to conduct research on decoding cis-regulatory element activity through deep learning frameworks. The key objectives of this 5-year research project are to: (1) investigate how cis-regulatory elements (CREs) interact combinatorially to regulate gene transcription, (2) examine how CREs exhibit context-dependent activity across different cell types, and (3) determine how CREs contribute to the regulation of transcript isoform usage. The researchers plan to leverage deep learning models, such as convolutional neural networks, to analyze large-scale genomic and epigenomic datasets and uncover non-linear patterns of CRE interactions and their regulatory effects. This computational work will be validated through high-throughput experimental techniques like STARR-seq and CRISPR-based perturbation assays. The project aims to provide new insights into the regulatory mechanisms underlying gene expression, with implications for understanding complex diseases and developing targeted therapeutic strategies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $460.6k | 8/6/25 |