This National Science Foundation (NSF) Project Grant award under the Biological Sciences (CFDA 47.074) program provides $153,680 to Georgia Tech Research Corporation for a 5-year project titled "PREDICTIVE SPATIAL OMICS BY GRAPH AND GENERATIVE LEARNING -TISSUES ARE SOCIAL CELLULAR COMMUNITIES". The project aims to develop computational models and open-source tools to map and interpret hidden tissue features using machine learning algorithms on spatial multi-omics data. Key objectives...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under its Biological Sciences program (CFDA 47.074) to the Georgia TECH Research Corporation for the "TOOLS4CELLS: EAGER: A MOLECULAR PURSUIT FOR THE ENGRAM: MICROFLUIDIC TEMPORAL TRANSCRIPTOMICS FOR SINGLE CELL LEARNING" project. This 2-year effort aims to develop innovative microfluidic tools and workflows to investigate the role of non-coding RNA in learning and memory storage in single-celled organisms. Key...
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 Science Foundation awarded a $367,636 Project Grant to the Massachusetts Institute of Technology from March 1, 2021 through February 29, 2024 under the Biological Sciences program (CFDA 47.074). The grant funds collaborative research on multidimensional single-cell phenotyping to elucidate relationships between genomes and phenotypes. The Biological Sciences program aims to advance biological knowledge and understanding of major problems through basic research. This award supports...
This $469,407 project grant from the National Science Foundation Division of Molecular and Cellular Biosciences, under the Biological Sciences federal grant program (CFDA 47.074), will fund research to discover novel functional RNA classes through computational integration of massively parallel RNA-binding protein binding and structure data. The awardee, Georgia Tech Research Corporation, will conduct this research from March 2023 through February 2028. Specifically, the organization will...
This Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) supports the development of new computational tools for analyzing single-cell genomic data across diverse plant species. The $1,180,752 award to Virginia Polytechnic Institute & State University aims to address key challenges in plant single-cell transcriptomics, including determining known and novel cell types, enabling cross-species comparisons, and overcoming the lack of curated...
This $421,550 federal Project Grant award from the National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program supports the development of new mathematical models and an advanced computational framework to optimize the mining of biological functions from single-cell multi-omics data. The research team at Oregon Health & Science University (OHSU) will pursue three key objectives: 1) creating a novel subspace representation model to identify transcriptional regulation and...
This National Science Foundation (NSF) Biological Sciences program Project Grant, with an award date of October 1, 2023 and total funding of $256,667.00, supports the development of advanced computational models to measure cellular traits in microscopy images. The goal is to create a universal deep-learning model that can readily quantify cell morphology in any microscopy image, with minimal training required. Specific objectives include developing methods for learning and extracting...
This $1,737,000 Project Grant awarded by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) supports the development of innovative single-cell genomics technologies for joint analysis of regulatory dynamics and transcriptional states. Key objectives include: Developing multiomics tools to measure rates of epigenomic changes (DNA methylation, demethylation, oxidative damage, DNA repair) and relate these to...
The Georgia Tech Research Corporation was awarded a $1,077,799 project grant from the National Science Foundation Division of Molecular and Cellular Biosciences on September 1, 2021 to complete work by August 31, 2025. The grant falls under the Biological Sciences program (CFDA 47.074), which aims to promote progress in the biological sciences and strengthen the nation's scientific enterprise through increasing knowledge and enhancing understanding of major problems. Specifically, the grant will...