The U.S. National Human Genome Research Institute (NHGRI) awarded a $1,696,968 Cooperative Agreement grant (CFDA 93.172 - Human Genome Research) to the University of California, Santa Cruz to develop novel computational methods and software tools for analyzing pangenomic data, with a focus on improving the accuracy and efficiency of variant calling and genotyping, particularly for complex structural variants. The grant, titled "Tools for Comprehensive Variant Characterization Using the...
The National Human Genome Research Institute (NHGRI) awarded a $457,920 Project Grant (CFDA #93.172 - Human Genome Research) to The Broad Institute, Inc. to develop a deep reinforcement learning framework for haplotype assembly. Haplotype assembly is critical for understanding human population genetics and disease, as it reconstructs the combination of alleles on maternally and paternally inherited chromosome copies. The Broad Institute, a renowned biomedical and genomic research organization,...
This Project Grant award from the National Human Genome Research Institute (NHGRI), under the Human Genome Research federal grant program (CFDA 93.172), provides $757,157 to the University of California, San Diego (UC San Diego) to develop complementary experimental and computational strategies for high-throughput characterization of the impact of genetic variants. The key objectives are to: 1) Develop a method called SCBE-SEQ that combines genome editing with single-cell sequencing to...
This Project Grant award from the National Human Genome Research Institute (NHGRI), under the federal Human Genome Research program (CFDA 93.172), provides $339,000.00 to further develop the GFASTAR tool suite and C++ library. GFASTAR is a set of algorithms and software tools used to evaluate and manipulate genome assembly graphs, which is critical for achieving complete and accurate "telomere-to-telomere" genome assemblies. The funding will be used to expand the GFALIBS C++ library to...
This Project Grant award of $200,000 was provided by the National Science Foundation (NSF) under the Biological Sciences (CFDA 47.074) program. The funding supports research to improve the efficiency of whole genome sequencing (WGS) data analysis through two main objectives: Optimizing the Genotype Representation Graph (GRG) data structure for modern parallel computing architectures, particularly GPUs, to handle the dynamic nature of genomic computations. Additionally, a matrix abstraction of...
This $1,645,076 Cooperative Agreement award from the National Human Genome Research Institute (NHGRI) under the Human Genome Research (CFDA 93.172) program will develop advanced tools and resources to enable new ways to access and understand the human pangenome. The key products and services to be delivered include: Sequence alignment and population genetic analysis methods to rapidly search, compare, and interpret pangenome data, leveraging succinct data structures for scalable pangenome...
The National Human Genome Research Institute (NHGRI), under the Human Genome Research Federal Grant Program (CFDA 93.172), awarded a $384,418 Project Grant to Xgenomes Corp. on September 25, 2024 to develop a revolutionary DNA sequencing platform. The project aims to create a super-resolution single-molecule sequencing technology that can read short sequence "words" rather than individual nucleotides, enabling one or more orders of magnitude improvements in accuracy and cost over...
This $1,205,737.49 Project Grant awarded by the National Human Genome Research Institute (NHGRI) under the Human Genome Research program (CFDA 93.172) supports the development of scalable computational methods and software tools to enable better analysis and interpretation of large genomic datasets. The key objectives are to: Develop a novel maximum likelihood estimation framework and optimization techniques to significantly accelerate phylogenetic analysis and enable the use of more complex...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $121,781 to Arizona State University (ASU) to develop new computational methods and hardware architectures for fast and efficient DNA sequence alignment. The goal is to enable rapid large-scale genomic data analytics, which can support various disease studies and biomedical applications. The project will leverage innovations in...
This four-year, $1.3 million project grant from the US Department of Agriculture National Institute of Food and Agriculture's Agriculture and Food Research Initiative (AFRI) program (CFDA #10.310) supports the development of pan-transcriptomes to understand genome-phenome relationships in cattle. The awardee, Washington State University, will construct pan-transcriptomes from four ruminant species including cattle breeds to discover transcriptomic variations driving phenotypic divergence....