The National Science Foundation (NSF) awarded a 5-year, $243,087 Project Grant under the Computer and Information Science and Engineering (CISE) program to The Research Foundation For The State University Of New York, doing business as Stony Brook University. The grant supports research to develop powerful, dynamic compressed indexes capable of efficiently handling a versatile set of queries and data representations for highly compressible datasets like DNA collections. Key goals include...
This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $1,200,000 to the University of California, San Diego from August 1, 2022 to July 31, 2026. The award supports research into developing new coding techniques to enable DNA-based data storage. Specific objectives include establishing theoretical limits on DNA storage capacity and efficiency,...
This $300,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research to develop efficient ways to enlarge practical DNA storage capacity by integrating bio-computer technologies. Led by researchers at the University of Minnesota, the interdisciplinary team will investigate approaches to improve the scalability of DNA storage, including identifying more...
This $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Texas at Austin to develop DNA-based storage and computation techniques. Specifically, the award supports the creation of a "SIMD-DNA" paradigm that uses strand displacement reactions to manipulate digital data encoded in the topological structure of DNA. This approach aims to enable parallel, in-memory computation without...
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 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $500,000 to the Regents of the University of California at Riverside over a 3-year period from July 2025 to June 2028. The goal of the project is to develop new methods for improving de novo genome assembly, which is the computational process of reconstructing an organism's complete genomic sequence from fragmented DNA data. The research...
This three-year, $930,252 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program, will support research exploring applications of digital microfluidic technology for DNA storage, computation, and synthetic biology. A team from the University of Minnesota will leverage an electronic platform developed by industrial partner Seagate to manipulate droplets and assemble DNA at...
This Project Grant award of $200,000 from the National Science Foundation's Biological Sciences (CFDA 47.074) program supports research to optimize the Genotype Representation Graph (GRG) data structure for efficient analysis of whole genome sequencing (WGS) data, particularly on parallel computing architectures like GPUs. The research aims to improve the accuracy and scalability of population genetics studies using large datasets such as the UK Biobank. Key objectives include optimizing the GRG...
This $565,783 National Science Foundation project grant under the Computer and Information Science and Engineering program will support the development of new data structures and software for computational biology and big data storage systems at the University of Maryland, College Park. The grantee will create compact summary data structures that can represent huge datasets and fit within computer memory, enabling applications to run much more quickly and scale to larger data sets. The data...
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 $308,794 to Temple University to develop novel computational methods for compressing and efficiently storing, retrieving, and analyzing exponentially growing DNA and RNA sequencing data. The key objectives of this 4-year project are to: (1) develop an error-bounded lossy compressor for sequence data quality scores, (2)...