This $900,000 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of custom hardware accelerators and software solutions to enable pervasive use of genome sequencing in precision healthcare. The three key objectives are: 1) designing domain-specific accelerators for whole genome sequencing and emerging genomics applications, 2) developing point-of-care pathogen detectors using real-time...
This five-year, $997,720 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop new mathematical models and algorithms for genetic data analysis using deep learning techniques. Funded through the NSF's statutory mission to support basic research, the award will support research at Cornell University from July 2022 through June 2027. Specifically, the principal investigator will create novel deep generative models to replace...
This $2,963,428 federal Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) aims to develop critical infrastructure components necessary for the interpretation of genomic data. The project will create cutting-edge tools, workflows, and tutorials to assist a wide audience of biology researchers in assembling and analyzing large genomes. This will streamline access to information important for biodiversity research, molecular genetics,...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) aims to build a next-generation genomic data processing system that incorporates state-of-the-art systems design principles. The $200,000 award, effective from October 1, 2024 to September 30, 2027, focuses on three key innovations: (1) improving cluster scheduling policies based on characterization of genomic workloads, (2) developing machinery...
This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to build a next-generation genomic data processing system that incorporates state-of-the-art systems design principles. The key innovations include: (1) improving cluster scheduling policy using workload characterization and an execution time predictor, (2) developing machinery for independently-scheduled genomic tasks with...
This three-year Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program ($600,000) will support the development of new computational methods and software for analyzing collections of genomic variants. Specifically, the grantee, Carnegie Mellon University, will create algorithms and open-source software tools to more accurately construct, compare, and assess the complexity of genome...
This National Science Foundation (NSF) Project Grant award under the Biological Sciences program (CFDA 47.074) provides $520,720 to Colorado State University (CSU) to develop new tools for geneticists that incorporate emerging models of genetics into their research. The project aims to test concepts from the "omnigenic model" and other advanced theories on the molecular and cellular basis of complex traits, using simulated traits as well as data from the model plant Arabidopsis...
This federal Project Grant award from the National Human Genome Research Institute (NHGRI), under the Human Genome Research program (CFDA 93.172), provides $1,205,737.49 to The Regents of the University of California, Berkeley (UC Berkeley) to develop scalable computational methods and software tools for genomic data analysis and interpretation. The key products to be delivered include: Novel maximum likelihood estimation (MLE) frameworks and optimization techniques to dramatically accelerate...
This $1,346,558 Project Grant award from the National Science Foundation's (NSF) Biological Sciences (CFDA 47.074) program supports the development of computational tools and methods for analyzing genetic diversity in plants. The project aims to create a modular software platform that will enable identification of genetic elements associated with plant adaptation to climate change. This will involve incorporating annotation of genes and their control regions with clade-wide genomic variation and...
This $121,781 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will support research at Arizona State University to develop a new high-performance, energy-efficient computing architecture for DNA sequence alignment and genomic data analysis. The key objectives are to leverage innovations in non-volatile magnetic random access memory (MRAM) technology and in-memory computing to create a Processing-in-Memory...