Project Grant R13HG011362

This $619,681 Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) to The Leland Stanford Junior University (Stanford University) aims to develop innovative tools and conduct multi-omics research to better understand the genetic interactions underlying Alzheimer's disease (AD) pathogenesis. The key products to be delivered include: Combo-Seq/Tag, a toolkit combining precise installation of AD risk gene variants (Combo-Seq) with a multiplex protein tagging...

This Project Grant award from the National Human Genome Research Institute (NHGRI), under the Human Genome Research Federal Grant Program (CFDA 93.172), supports the establishment of a novel model system to study germline selection mechanisms and their impact on genetic regulation and evolutionary processes. The $158,509 award to Rockefeller University aims to leverage the unique germline-restricted chromosome (GRC) in songbirds to investigate how germline-somatic conflicts influence the...

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) 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 Cooperative Agreement award from the National Human Genome Research Institute (NHGRI), under the Human Genome Research (CFDA 93.172) program, provides $1,310,799 to the University of California, San Diego (UCSD) from September 2024 to August 2027. The project aims to integrate the reference pangenome, which represents a collection of genome sequences, with large-scale biobank data to improve the analysis of complex genetic traits. Key objectives include developing a web-based pangenome...

This $200,000 Project Grant awarded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) aims to develop tools and infrastructure to enable efficient, large-scale analysis of whole genome sequencing (WGS) data. The research at Cornell University focuses on optimizing the Genotype Representation Graph (GRG) data structure for parallel computing architectures, particularly GPUs, to handle the dynamic nature of genomic computations. Additionally, a matrix abstraction...

This award from the National Science Foundation's Division of Environmental Biology supports a research project at Purdue University to investigate the genetic basis of how organisms adapt to their environment, including the role of non-additive genetic effects. The $198,915 Project Grant, awarded on September 15, 2023, will fund research using a unique set of genetic resources to quantify the contribution of non-additive effects on survival and seed production in the model organism...

This National Science Foundation project grant of $240,000 supports research investigating the genomic consequences of hybridization in the Mimulus guttatus complex from June 2023 through May 2026. Funded under the Biological Sciences program (CFDA 47.074), the award enables a postdoctoral research fellowship for integrative research on the rules governing interactions between genomes, environments and phenotypes during speciation. The fellow will use genomic analyses and greenhouse crosses to...

This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program grant in the amount of $595,875 awarded to the University of Pittsburgh will develop a computational framework to address two fundamental problems in genetics and genomics: haplotype inference and allele-specific transcript expression quantification. The project aims to enhance the accuracy of both inferred haplotypes and allele-specific expression quantification by combining existing frameworks into a single...

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...