NIDCR Research Grants for Analyses of Existing Genomics Data (R01 Clinical Trial Not Allowed)
Funding Opportunity PAR-20-045 from the NIH Guide for Grants and Contracts. The purpose of this FOA is to announce support for meritorious research projects that address research questions relevant to human dental, oral, or craniofacial (DOC) conditions or traits through analyzing existing and publicly available genomics data using statistical and computational approaches. Data analysis of each project can be performed using exiting and/or novel methods to be developed in the same project, including machine learning-based methods (ML). In addition to analysis of existing data, experimental or in silico work should be pr...
Source: NIH Funding Opportunities (Notices, PA, RFA) - November 8, 2019 Category: Research Source Type: funding
NIDCR Small Research Grants for Analyses of Existing Genomics Data (R03 Clinical Trial Not Allowed)
Funding Opportunity PAR-20-046 from the NIH Guide for Grants and Contracts. The purpose of this FOA is to provide support for meritorious research projects that address research questions relevant to human dental, oral, or craniofacial (DOC) conditions or traits through analyzing existing and publicly genomics data using statistical and computational approaches. Data analysis of each project can be performed using exiting and/or novel methods to be developed in the same project, including machine learning-based methods (ML). (Source: NIH Funding Opportunities (Notices, PA, RFA))
Source: NIH Funding Opportunities (Notices, PA, RFA) - November 8, 2019 Category: Research Source Type: funding
Mechanisms Underlying the Contribution of Type 1 Diabetes Disease-associated Variants (R01 Clinical Trial Not Allowed)
Funding Opportunity RFA-DK-19-020 from the NIH Guide for Grants and Contracts. 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 associated variants for type 1 diabetes (T1D). Genome-wide association studies (GWAS) and other genomic studies of T1D have found many variants that are statistically associated with disease risk or disease protection, but they have not clearly shown which variants in gen...
Source: NIH Funding Opportunities (Notices, PA, RFA) - November 6, 2019 Category: Research Source Type: funding
Mechanisms Underlying the Contribution of Type 1 Diabetes Disease-associated Variants (R01 Clinical Trial Not Allowed)
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 associated variants for type 1 diabetes (T1D). Genome-wide association studies (GWAS) and other genomic studies of T1D have found many variants that are statistically associated with disease risk or disease protection, but they have not clearly shown which variants in genomic elements cause these effects or how they result in differences in function. A...
Source: NIDDK Funding Opportunities - November 6, 2019 Category: Endocrinology Source Type: funding
Limited Competition: Biospecimen Banks to support NCI National Clinical Trials Network (NCTN)(U24 Clinical Trial Not Allowed)
Funding Opportunity RFA-CA-20-002 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) solicits renewal applications for Biobanks that will support the following NCI clinical trial programs: The NCI National Clinical Trials Network (NCTN; https://research.usc.edu/nci-national-clinical-trials-network-nctn-program/), and NCI Community Oncology Research Program (NCORP). The NCTN Biospecimen Bank (also referred to as NCTN Biobanks) will be responsible for collecting, processing, storing, and distributing well-annotated human specimens from patients with cancer who are participating in N...
Source: NIH Funding Opportunities (Notices, PA, RFA) - October 24, 2019 Category: Research Source Type: funding
Transdisciplinary Research in Principles of Data Science Phase II (TRIPODS)
Letter of Intent Window: November 20, 2019 Program Guidelines: NSF 19-604Transdisciplinary Research In Principles Of Data Science (TRIPODS) aims to bring together the statistics, mathematics, and theoretical computer science communities to develop the theoretical foundations of data science through integrated research and training activities. Phase I, described in solicitation NSF 16-615, supported the development of small collaborative Institutes. Phase II will support a smaller number of larger Institutes, selected from the Phase I ...More at https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505663&WT.mc_id=US...
Source: NSF Upcoming Due Dates - October 21, 2019 Category: Science Source Type: funding
Understanding the Functional Contributions and Mechanisms of Type 2 Diabetes Disease-associated Variants (UM1 Clinical Trial Not Allowed)
Funding Opportunity RFA-DK-19-012 from the NIH Guide for Grants and Contracts. 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...
Source: NIH Funding Opportunities (Notices, PA, RFA) - September 27, 2019 Category: Research Source Type: funding
Understanding the Functional Contributions and Mechanisms of Type 2 Diabetes Disease-associated Variants (UM1 Clinical Trial Not Allowed)
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 ...
Source: NIDDK Funding Opportunities - September 27, 2019 Category: Endocrinology Source Type: funding
Limited Competition: AIDS Malignancy Consortium (AMC) (UM1 Clinical Trials Required)
Funding Opportunity RFA-CA-19-056 from the NIH Guide for Grants and Contracts. The purpose of the proposed Funding Opportunity Announcement (FOA) is to continue support for AIDS Malignancy Consortium (AMC). AMC is a major infrastructure intended to stimulate cooperative research efforts in the following areas: 1) Design, development, and evaluation of clinical interventions for the prevention and treatment of HIV-associated malignancies; Development of more effective therapeutics and management strategies for HIV-associated malignancies; Investigation of the biology of HIV malignancies within the context of clinical ...
Source: NIH Funding Opportunities (Notices, PA, RFA) - September 11, 2019 Category: Research Source Type: funding
Leveraging Big Data Science to Elucidate the Neural Mechanisms of Addiction and Substance Use Disorder (R01 - Clinical Trials Not Allowed)
Funding Opportunity RFA-DA-20-006 from the NIH Guide for Grants and Contracts. The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology. (Source: NIH Funding Opportunities (Notices, PA, RFA))
Source: NIH Funding Opportunities (Notices, PA, RFA) - July 10, 2019 Category: Research Source Type: funding
Leveraging Big Data Science to Elucidate the Neural Mechanisms of Addiction and Substance Use Disorder (R21 - Clinical Trials Not Allowed)
Funding Opportunity RFA-DA-20-007 from the NIH Guide for Grants and Contracts. The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology. (Source: NIH Funding Opportunities (Notices, PA, RFA))
Source: NIH Funding Opportunities (Notices, PA, RFA) - July 10, 2019 Category: Research Source Type: funding
Computational Methods for Integrating Tissue and Single Cell Genomic Data from the Brain (R01 Clinical Trial Not Allowed)
Funding Opportunity RFA-MH-20-300 from the NIH Guide for Grants and Contracts. The purpose of this Funding Opportunity Announcement (FOA) is to support the development or application of advanced computational and statistical tools to integrate brain tissue and single-cell genomic data in order to advance our understanding of the cell type-specific gene regulatory networks and biological pathways involved in the pathogenesis and pathophysiology of mental disorders. (Source: NIH Funding Opportunities (Notices, PA, RFA))
Source: NIH Funding Opportunities (Notices, PA, RFA) - June 26, 2019 Category: Research Source Type: funding
Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R01 - Clinical Trials Not Allowed)
Funding Opportunity RFA-DA-20-008 from the NIH Guide for Grants and Contracts. The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology. (Source: NIH Funding Opportunities (Notices, PA, RFA))
Source: NIH Funding Opportunities (Notices, PA, RFA) - June 25, 2019 Category: Research Source Type: funding
Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R21 - Clinical Trials Not Allowed)
Funding Opportunity RFA-DA-20-009 from the NIH Guide for Grants and Contracts. The purpose of this FOA is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology. (Source: NIH Funding Opportunities (Notices, PA, RFA))
Source: NIH Funding Opportunities (Notices, PA, RFA) - June 25, 2019 Category: Research Source Type: funding
NIH Inclusion Data by Research and Disease Category Now Available
This reporting step continues our move towards enhancing transparency and accountability of the research we support. As part of implementing the 21st Century Cures Act and responding to recommendations from the Government Accountability Office, public reporting by NIH Research, Condition, and Disease Classification (RCDC) category helps ensure that women and minorities are appropriately included in biomedical research across a diverse array of diseases and conditions. At a recent meeting of the NIH Advisory Committee on Research on Women’s Health (go to 02:45), where this announcement was made, we also reported that ...
Source: NIH Extramural Nexus - May 6, 2019 Category: Research Authors: Janine Clayton, Dawn Corbett, Marie Bernard, and Mike Lauer Tags: blog Open Mike Inclusion RCDC Source Type: funding
