Gribskov:Grants and Proposals
From Purdue Genomics Database Facility
Grant opportunities or possible proposals we could make
2008
NSF - Advances in Biological Informatics (ABI)
The Advances in Biological Informatics (ABI) program seeks to encourage new approaches to the analysis and dissemination of biological knowledge for the benefit of both the scientific community and the broader public. The ABI program is especially interested in the development of informatics tools and resources that have the potential to advance, or transform, research in biology supported by the Directorate for Biological Sciences at the National Science Foundation.
Full Proposal Target Date: August 12, 2008
NSF - Genes and Genome Systems Cluster
PD 04-1112
The Genes and Genome Systems Cluster supports studies on genomes and genetic mechanisms in all organisms, whether prokaryote, eukaryote, phage, or virus. Proposals on the structure, maintenance, expression, transfer, and stability of genetic information in DNA, RNA, and proteins and how those processes are regulated are appropriate. Areas of interest include genome organization, molecular and cellular evolution, replication, recombination, repair, and vertical and lateral transmission of heritable information. Of equal interest are the processes that mediate and regulate gene expression, such as chromatin structure, epigenetic phenomena, transcription, RNA processing, editing and degradation, and translation. The use of innovative in vivo and/or in vitro approaches, including biochemical, physiological, genetic, genomic, and/or computational methods, is encouraged, as is research at the interfaces of biology, physics, chemistry, mathematics and computer science, and engineering.
Full Proposal Target Date: January 12, 2009
NSF - Plant Genome Research Program
Three kinds of activity will be supported in FY 2007 and FY 2008: (1) Genome-Enabled Plant Research (GEPR) awards to tackle major unanswered questions in plant biology on a genome-wide scale, (2) Transferring Research from Model Systems (TRMS) to apply basic biological findings made using model systems to studying the basic biology of plants of economic importance, and (3) Tools and Resources for Plant Genome Research (TRPGR) awards to support development of novel technologies and analysis to enable discovery in plant genomics. While young investigators can apply for any of these opportunities, eligible researchers are strongly encouraged to apply to the CAREER Program ( NSF 05-579: http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5262).
Target date???
NIH - NLM Express Research Grants in Biomedical Informatics (R01)
The National Library of Medicine (NLM) offers support for basic and applied research in biomedical informatics and bioinformatics. The scope of NLM’s interest in the research domain of informatics is interdisciplinary, encompassing basic informatics problem areas in the application domains of health care and health administration, public health, basic biomedical research, clinical translational research and health information management in disasters. Thus, in most instances, informatics projects of interest to NLM involve the application of computer and information sciences to information problems in a biomedical domain. NLM defines biomedical informatics as the science of optimal organization, management, presentation and utililization of information relevant to medicine and biology. Informatics research produces concepts, tools and approaches that contribute to what is known about the capture, storage, integration, representation, management, dissemination and use of data, information and knowledge. NLM also supports research projects focused on biomedical (rather than informatics) research questions, but approached exclusively by novel or advanced informatics techniques applied to information and data produced by others.
NIH Std Deadlines
NIH - Innovations in Biomedical Computational Science and Technology (R01)
Computing and computational tools have become increasingly important in enabling progress in biomedical research. In recognition of the critical role computing and computer science plays in biomedical research, the NIH Director commissioned a Working Group on Biomedical Computing in June 1999. The result of the deliberations of the Working Group on Biomedical Computing was a report entitled "The Biomedical Information Science and Technology Initiative (BISTI)" which can be accessed at the following site: http://www.nih.gov/welcome/director/060399.htm. A major recommendation of the BISTI is that the NIH should provide additional resources and incentives for basic research to provide adequate support for those who are inventing, refining, and applying the tools of biomedical computing. The promotion of the interface of biomedical information science and technology with biomedical research should result in new digital and electronic tools that will have substantial impact on broad areas of biomedical research.
The Institutes and Centers of the NIH acknowledge the wisdom of this recommendation and offer support through the current solicitation for fundamental research in biomedical information science and technology as well as for the development of new informatics, computational and mathematical tools and technologies. BISTI targets support for fundamental research in biomedical computing science and technology as well as the development and application of new biocomputing tools or technologies for a particular area(s) of scientific opportunity in biomedical research.
Programs may target one or multiple areas of biomedical computing that will enable progress in biomedical research. Examples of data types that could be considered include but are not limited to genomic sequences, biomedical images, qualitative descriptors for health and social science, remote sensing and geospatial images, and pathway data. Specific research areas solicited in informatics or computational science include but are not limited to research, development and application of:
- Tools for data acquisition, archiving, querying, retrieval, visualization, integration and management.
- Platform-independent translational tools for data exchange and for promoting interoperability.
- Analytical and statistical tools for interpretation of large data sets.
- New models or simulations of complex biological processes at single and multiple levels or across multiple scales (and the development of mathematical tools for these processes).
Particular research activities related to the formalization of data-related concepts are appropriate under this announcement. An overall goal of this announcement is to support research and development of tools and approaches for computing on data; most of these will likely be implemented in software. Best practices for such endeavors include the explicit formalization of data-related concepts that pertain directly to the software. This would include activities such as: 1) assessing data flow and use; 2) defining the terms used for data, fields, operations, etc.; 3) defining the relationships among terms and functions; 4) defining data models and schemas; and 5) other similar activities. It is important to emphasize that these activities are appropriate as they relate closely to the particular software itself, or to making the particular software interoperable with other specific software or computational resources.
Areas of biomedical research likely to be critically dependent on biocomputing advances include but are not limited to:
- Behavioral science
- Biological rhythms
- Biomedical imaging
- Cell biology
- Demographic and social science
- Developmental biology
- Drug design at the molecular and cellular levels
- Dynamic modeling of health, chronic disease, and disablement
- Environmental science
- Epidemiology
- Genetics
- Genomics
- Immunology/inflammation
- Medical genetics
- Morphology
- Neurobiology and cognitive science
- Pharmacology
- Physiology
- Population biology
- Structural biology
- Substance abuse research
- Surgery and virtual tools
Projects must span the interface of biomedical research and biomedical computational science and technology. Applicants will be expected to demonstrate fundamental understanding and adequate expertise in both the relevant areas of computational science and technology and biomedical research. Cross-disciplinary collaborations are strongly encouraged, including those which have been initiated or fostered through other cross-cutting initiatives, and now are seeking independent support.
NIH Std Deadlines: February 5, June 5, October 5
NIH - Implicating Noncoding RNAs in the Genetics of Mental Disorders (R01)
This initiative will focus on genome wide approaches to characterize the role that miRNAs and other noncoding RNAs play in the etiology of mental disorders. Projects to be funded under this FOA include determination of the expression of computationally predicted microRNAs by high-throughput miRNA microarray analysis; and validation of the sequence of predicted miRNAs that give high signals on the microarray using state-of-the-art sequence-directed cloning and sequencing methods. A particular focus of this initiative will be the characterization of inadequate, spatially aberrant or mistimed expression of a functional protein as modulated by noncoding RNAs. Alterations in protein expression attributable to these novel mechanisms are expected to play a significant role in the etiology of mental disorders. One or more susceptibility genes for mental disorders may turn out to include abnormal transcriptional units that code for RNA regulators of protein coding genes or to be proximal to such units, rather than to be abnormalities in the protein coding gene itself. Understanding the genetics of mental disorders might very well include consideration of RNA regulation of protein expression.
NIH Std Deadlines: February 5, June 5, October 5
NIH - NLM Knowledge Management & Applied Informatics Grants (G08)
The National Library of Medicine (NLM) offers Knowledge Management & Applied Informatics grants to health-related and scientific organizations that wish to optimize the utility of clinical and research information. These grants are for organizations that wish to
- exploit the capabilities of information technology to bring usable, useful online health information to end users, or
- to translate the findings of biomedical informatics research into practice
in order to provide the professionals, scientists and clients of their organization, or the public at large, with access to high-quality health-related information resources and services. These grants are offered to help organizations improve and foster the use of computer and telecommunications technologies to access, collect, manage, organize and disseminate health-related and scientific information.
NLM Knowledge Management & Applied Informatics grants emphasize the use of information technology to bring usable, useful health-related information to end users. Computers and networks are the basis of information systems that provide health professionals, researchers, educators, students and consumers with time- and place-independent access to the published biomedical knowledge, clinical files and images and scientific databases they need. They also provide the ability to communicate with patients, health administrators, and colleagues around the world. The term “information system” is defined broadly to include equipment, software, knowledge resources and services, and human expertise.
NLM defines biomedical informatics as the intersection of basic informational and computing sciences with an application domain in biomedicine. Through its research grant programs, NLM has fostered development of models and techniques in areas of biomedical informatics such as information retrieval, decision support, knowledge representation, natural language processing, visualization, simulation, human-machine interaction and knowledge management. The NLM Knowledge Management & Applied Informatics grants can assist those who wish to translate findings from basic informatics research into practice by incorporating them into real-life systems and services.
Deadlinies: January 25, May 25, September 25
