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The Plant Genome Research Program (PGRP) supports genome-scale research that addresses challenging questions of biological, societal and economic importance. PGRP encourages the development of innovative tools, technologies and resources that empower a broad plant research community to answer scientific questions on a genome-wide scale. Emphasis is placed on the scale and depth of the question being addressed and the creativity of the approach. Data produced by plant genomics should be usable, accessible, integrated across scales and of high impact across biology. Training, broadening participation, and career development are essential to scientific progress and should be integrated in all PGRP-funded projects.

Biological and Environmental Research (BER) of the Office of Science (SC), U.S. Department of Energy (DOE) hereby announces its interest in receiving applications for research of interest to the Genomic Science Program (http://genomicscience.energy.gov) in the following research areas: a) Integrating large-scale systems biology data to model, design, and engineer microbial systems for the production of biofuels and bioproducts: Interdisciplinary approaches to develop innovative, high-throughput modeling, genome-wide design and editing, and engineering technologies for a broad range of microbes relevant for the production of biofuels and bioproducts from biomass. b) Plant systems design for bioenergy: To develop novel technologies for genome-scale engineering to re-design bioenergy crops that can grow in marginal environments while producing high yield of biomass that can be easily converted to biofuels and bioproducts. Applications should include strategies to address biocontainment, minimizing risks of potential release of engineered organisms into the environment or other unintended outcomes.

Biological and Environmental Research (BER) of the Office of Science (SC), U.S. Department of Energy (DOE) hereby announces its interest in receiving applications for research of interest to the Genomic Science Program (http://genomicscience.energy.gov) in the following research areas: a) Integrating large-scale systems biology data to model, design, and engineer microbial systems for the production of biofuels and bioproducts: Interdisciplinary approaches to develop innovative, high-throughput modeling, genome-wide design and editing, and engineering technologies for a broad range of microbes relevant for the production of biofuels and bioproducts from biomass. b) Plant systems design for bioenergy: To develop novel technologies for genome-scale engineering to re-design bioenergy crops that can grow in marginal environments while producing high yield of biomass that can be easily converted to biofuels and bioproducts. Applications should include strategies to address biocontainment, minimizing risks of potential release of engineered organisms into the environment or other unintended outcomes.

 The purpose of this Funding Opportunity Announcement (FOA) is to support Large Animal Testing Centers to evaluate in vivo genome editing technologies developed by other investigators in the Somatic Cell Genome Editing Program (SCGE). Each Testing Center will use wild-type pigs or non-human primates, as well as reporter animals developed under RFA-RM-18-013. The Testing Centers will work collaboratively with investigators funded under RFA-RM-18-016 and RFA-RM-18-017 to assess efficacy and safety of in vivo genome editing and delivery technologies. Testing Centers will breed, archive and maintain cohorts of well characterized and genotyped large animals, establish methods and protocols for the evaluation of the delivery systems and editing tools, conduct testing and provide results to the SCGE Dissemination and Coordination Center. Such activities will accelerate the translation of genome editing technologies into treatments for human diseases.  

The scope of this FOA is to establish the NHGRI Genomic Data Science Analysis, Visualization, Informatics Lab-space ("AnVIL") in support of genomic research. The AnVIL aims to create an interoperable resource for the research community by co-locating data, storage and computing infrastructure with commonly used services and tools for analyzing and sharing data. The AnVIL will further advance research by leveraging a cloud-based infrastructure to facilitate genomic data access by the broad scientific community, integration and computing on and across large datasets generated by NHGRI programs, or programs funded by others in support of human genomics research.

The purpose of this FOA is to support the establishment of a Dissemination and Coordination Center (DCC) for the NIH Somatic Cell Genome Editing (SCGE) Consortium. In addition to this DCC, the Consortium will include four components (genome editing tools, delivery systems, animal models and biological assays) to produce validated techniques and knowledge through exchange of expertise, information and research tools. The DCC is expected to interact with other components of the SCGE Consortium to facilitate collaborative activities within the entire Consortium. The DCC will develop an online platform to facilitate information sharing within the Consortium, assemble resources (tools, methods, data and best practices) generated from all Consortium components into a genome editing toolkit, and disseminate the genome editing toolkit and other appropriate resources to researchers across the biomedical research community.

This Funding Opportunity Announcement (FOA) seeks grant applications to develop major advances in genomic technologies. Advances in genomics and more broadly in biomedical research have been greatly facilitated by significant and sustained genomics technology throughput increases, cost decreases, and improvements in ease of use. The proposed technology development work should allow comprehensive genomic analysis of features not assayable today, or an increase of no less than an order of magnitude improvement in an existing technology in terms of data quality, throughput, efficiency or comprehensiveness (individually or in combination). This FOA explicitly excludes the development of novel technologies for DNA sequencing and for direct RNA sequencing; those projects should respond to a parallel set of FOAs (RFA-HG-18-001, RFA-HG-18-002, and RFA-HG-18-003).

This Funding Opportunity Announcement (FOA) seeks grant applications to develop major advances in genomic technologies. Advances in genomics and more broadly in biomedical research have been greatly facilitated by significant and sustained genomics technology throughput increases, cost decreases, and improvements in ease of use. The proposed technology development work should allow comprehensive genomic analysis of features not assayable today, or an increase of no less than an order of magnitude improvement in an existing technology in terms of data quality, throughput, efficiency or comprehensiveness (individually or in combination). This FOA explicitly excludes the development of novel technologies for DNA sequencing and for direct RNA sequencing; those projects should respond to a parallel set of FOAs (RFA-HG-18-001, RFA-HG-18-002, and RFA-HG-18-003).

The purpose of this funding announcement (FA) is to solicit applications for Genome Centers to generate and process genomic data as part of the All of Us Research Program. The All of Us Research Program seeks to create one of the world's largest and most comprehensive precision medicine research platforms with a data resource containing multi-layered data on one million or more participants. The All of Us Genome Centers will generate both genotype and whole genome sequence data from biospecimens from this cohort. These Centers also will operate an analysis workflow resulting in high-confidence calling of all variant types (single nucleotide variants, small insertions/deletions, larger structural variants including copy number variations) and establish a robust pipeline to securely transfer data to the All of Us Data and Research Center

The purpose of this Funding Opportunity Announcement (FOA) is to support large animal Testing Centers to evaluate in vivo genome editing technologies developed by other investigators in the Somatic Cell Genome Editing Program (SCGE). Testing Centers will use either pigs or non-human primates, including wild-type animals, as well as reporter animals developed by RFA-RM-18-013. The Testing Centers will work collaboratively with investigators funded under RM-18-016 and RFA-RM-18-017 to assess efficacy and safety of in vivo genome editing and delivery technologies. Centers will breed, archive and maintain cohorts of well characterized and genotyped large animals, establish methods and protocols for the evaluation of the delivery systems and editing tools, conduct testing and provide results to the Dissemination and Coordination Center of the SCGE. Such activities will accelerate the translation of genome editing technologies into treatments for human diseases.

Through the program, grants of up to $100,000 over eighteen months will be awarded to projects that advance our understanding of the genetic basis of autism spectrum disorder. Data to be analyzed through the program will include whole-exome and genome-wide genotyping data from approximately forty-five hundred individuals with ASD enrolled in SPARK and their biological parents. Approximately half of these families will also have genomic data from an unaffected sibling. Whole-genome sequencing data from an additional four hundred ASD individuals, plus their biological parents and unaffected siblings, is also expected to be available. In addition, a limited phenotypic data set on all participants will be available.

The NIH Common Fund has established the Gabriella Miller Kids First Pediatric Research Program (Kids First) to develop a pediatric research data resource populated by genome sequence and phenotypic data that will be of high value for the communities of investigators who study the genetics of childhood cancers and/or structural birth defects. Kids First has established and continues to develop a Data Resource including a collection of curated genomic and phenotypic data from childhood cancer and structural birth defects cohorts and a central portal where these data and analysis tools are accessible to the research community. Access to these data will promote comprehensive and cross-cutting research and collaboration leading to more refined diagnostic capabilities and ultimately more targeted therapies. This FOA is intended to support meritorious small research projects focused on analyses of childhood cancer and/or structural birth defects genomic datasets generated by the Kids First program and/or associated phenotypic datasets. Development of approaches, tools, or algorithms appropriate for analyzing genomic, phenotypic, and/or clinical data relevant to Kids First may also be proposed

This Funding Opportunity Announcement (FOA) encourages applications from integrative teams and individual investigators for large-scale complex multi-disciplinary Functional Genomics Projects (FGPs) to determine the contributions and mechanisms underlying the contribution of risk-associated variants and their downstream effector transcripts for type 2 diabetes (T2D). The intent is to generate knowledge and tools to enable the identification of putative biomarkers and therapeutic targets by future efforts. Genome-wide association studies (GWAS) and other genomic studies of T2D and its complications have found many variants that are statistically associated with disease risk, disease protection, progression to complications, or other traits. However, such studies do not show which variants in genomic elements cause these effects or how they result in differences in function. Applications submitted to this RFA will systematically identify causal variants and effector transcripts associated with all known T2D risk variants, verify the role of downstream effector transcripts, build network models that explain their role(s) in T2D and its complications, and identify key readouts and modulation points in these networks. Data, tools, and reagents generated by these projects will be released rapidly to facilitate more in-depth study by the broad scientific community.

This Funding Opportunity Announcement (FOA) encourages applications for the establishment of a Technology Development Coordinating Center for the National Human Genome Research Institute (NHGRI). The Coordinating Center will be responsible for enhancing integration between components of the NHGRI Genome Technology program by facilitating opportunities for collaborations and leading efforts to promote standards in genomic technologies. The Center will also disseminate program advances, develop resources and outreach strategies for engaging the broader biomedical research community, and manage an Opportunity Funds program to rapidly fund and support promising small-scale work that advances the development of innovative genomic technologies.

Genomic Science program supports basic research aimed at identifying the foundational principles that drive biological systems. These principles govern the translation of the genetic code into integrated networks of proteins, enzymes, regulatory elements, and metabolite pools that are the functional processes of organisms including microbes and multispecies communities relevant to DOE missions in energy and the environment. To address the DOE mission in sustainable Bioenergy development, the Genomic Science program brings omics-driven tools of modern systems biology to bear on the challenges associated with microbial production of advanced Biofuels and Bioproducts.Developing an increased understanding of how biological systems function and translating that knowledge to enhance the production capabilities of microbes and plants forms the basis of DOE's mission in sustainable Bioenergy. To harness the biosynthetic processing power of the microbial world for advanced Biofuels and Bioproducts production, an expanded set of platform organisms with appropriate metabolic capabilities and stress tolerance characteristics with a suite of modification tools will need to be developed. To foster this development, the DOE-BER Genomic Science program supports research aimed at understanding the principles that govern the functional properties of bioenergy relevant organisms at the genomic scale.

This Funding Opportunity Announcement (FOA) solicits applications to develop highly innovative computational approaches for interpreting sequence variants in the non-protein-coding regions of the human genome. The goal is to develop methods that analyze whole-genome sequence data by integrating data sets, such as ones on genome function, phenotypes, patterns of variation, and other features, to identify or substantially narrow the set of variants that are candidates for affecting organismal function leading to disease risk or other traits. The accuracy of the computational approaches developed should be assessed using experimental data.

The purpose of this FOA is to provide support for research projects that involve secondary data analyses of existing genome-wide data from genome-wide association studies or other large genomic datasets for the purpose of identifying gene-environment interactions. The ultimate objective of this funding opportunity is the discovery of complex interplays of genes and environmental factors in human populations which may disclose novel genetic susceptibilities to environmental exposures or a greater understanding of the role of environmental exposures in the development, progression, and severity of complex human diseases.

The purpose of this FOA is to provide support for research projects that involve secondary data analyses of existing genome-wide data from genome-wide association studies or other large genomic datasets for the purpose of identifying gene-environment interactions.  The ultimate objective of this funding opportunity is the discovery of complex interplays of genes and environmental factors in human populations which may disclose novel genetic susceptibilities to environmental exposures or a greater understanding of the role of environmental exposures in the development, progression, and severity of complex human diseases.   

The purpose of this FOA is to support the development and evaluation of innovative approaches to deliver genome editing machinery into somatic cells, with the ultimate goal of accelerating the development of genome editing therapeutics to treat human disease. Projects will be supported through a two-phase, UG3/UH3 award mechanism. The initial 3-year UG3 phase will support proof of concept studies of delivery technologies and independent validation of targeted cell and tissue delivery in vivo. The 1-year UH3 phase will support scale-up and testing of genome editing technologies in collaboration with Large Animal Testing Centers.

NHGRI invites applications for research developing comparative approaches that can be used to understand genome structure and function and the relationship between genomic features and phenotypes. This program supports studies that enable the use of a diverse array of species to advance our ability to understand basic biological processes related to human health and disease, as well as studies that develop novel analytical tools and resources for the comparative genomics research community.

: The Division of Integrative Organismal Systems (IOS) continues to support the Enabling Discovery through GEnomic Tools (EDGE) program, previously a component of the IOS Core Programs solicitation (NSF 16-505). EDGE is designed to provide support for research addressing current impediments to research progress in organismal biology. In particular, the ability to directly test gene function is essential to improve understanding of the genomes-to-phenomes relationship, an area relevant to Understanding the Rules of Life, one of 10 Big Ideas for future NSF investment (www.nsf.gov/about/congress/reports/nsf_big_ideas.pdf). EDGE projects should focus on development of functional genomic tools, approaches, and associated infrastructure to enable direct tests of hypotheses about gene function in diverse organisms for which such tools and infrastructure are presently unavailable. EDGE proposals must include training and rapid dissemination plans enabling larger communities of investigators to utilize the newly-developed tools, thereby catalyzing an increase in the capacity of research communities to test cause-and-effect hypotheses about genes and phenotypes in organisms for which such tools and infrastructure are presently lacking.