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This NIH Funding Opportunity Announcement (FOA), supported by funds from the NIH Common Fund (Common Fund), invites applications to support bioinformatics research training programs at low or middle income (LMIC) African country institutions with significant genomics research capacity.  African applicants may propose graduate degree and long term postdoctoral bioinformatics research training in collaboration with other African or high income country (HIC) collaborators.  It is expected that these training programs will address the need for bioinformatics research expertise in the H3Africa Consortium and result in sustainable centers of bioinformatics research training relevant to global health research for the African continent.

The purpose of this U24 Funding Opportunity Announcement (FOA) is to support a bioinformatics group (BIG) that will analyze a set of asthma-specific common data elements (CDEs) retrospectively collected from the electronic health record data (EHR) of patients in the US whose asthma is managed by a primary care provider (PCP). Based on a large, nationally representative data set, the BIG will identify the current management practices (CMPs) of PCPs that result in the best asthma outcomes for specific groups of patients in different clinical settings or situations. The CMPs will be established by the BIG in collaboration with a clinical consultant team (CCT) with expertise in asthma and a primary care network (PCN), experienced in managing the primary care of patients. Following the BIG's analysis of retrospective data, the CCT and PCN will design and then conduct prospective clinical trials to compare the retrospectively identified CMPs in appropriate patients with asthma. At the conclusion of the clinical trials, the BIG will perform the data analysis for the assessment of the CMPs, refining any of the processes needed to analyze the asthma CDE data.

The overall goals of the Bioinformatics Center are to provide a database and associated tools for storage and integration of clinical physiological and metabolic data along with multiple types of chemical analysis data derived through metabolomics, proteomics, genomics, transcriptomics, or similar technologies. 

The purpose of this Funding Opportunity Announcement (FOA) is to encourage the application of existing and newly emerging genomic, epigenomic, and bioinformatics tools to generate novel insights into the development, progression, and treatment of select disorders in gynecologic health and disease.

The purpose of this Funding Opportunity Announcement (FOA) is to support the development of advanced computational, bioinformatic and statistical tools to determine the functional relevance of genetic variants associated with mental disorders of complex etiologies identified through genome-wide association or sequencing studies. The overarching goal of this initiative is to support the development of innovative computational methods that facilitate the elucidation of the functionality of genetic variants associated with mental illness, taking into account the added complexities and nuances of brain diseases, and to ultimately inform novel treatment development based on human biology.

Translational Bioinformatics Approaches to Advance Drug Repositioning and Combination Therapy Development for Alzheimer's Disease (R01 Clinical Trial Optional)

The NIGMS Postdoctoral Research Associate (PRAT) Programs overarching goal is to provide high quality postdoctoral research training in the basic biomedical sciences, in NIH intramural research laboratories, to a diverse group of postdoctoral fellows to prepare them for leadership positions in biomedical careers. The research projects proposed should focus on NIGMS mission-related areas of basic biomedical science. These include cell biology, biophysics, genetics, developmental biology, pharmacology, physiology, biological chemistry, computational biology, technology development and bioinformatics. Studies employing model organisms are encouraged

TRANSLATIONAL MEDICINE AND THERAPEUTICS: The goal of the PhRMA Foundation's Translational Medicine and Therapeutics Program is to promote the development and use of experimental and computational methods in an integrative approach towards clinical needs in diagnosis, treatment and prevention. This can involve enhanced understanding of human biological and disease processes but requires a strong translational component. This program will support the concepts of Translational Medicine and Therapeutics as defined by the Foundation: "Translational medicine and therapeutics is a discipline focused on bridging experimental and computational technologies and discoveries in the research laboratory to their application in clinical practice. Examples of research components include activities in molecular and cellular biology, pathophysiology, systems biology, bioinformatics, modeling and simulation, and other quantitative sciences to connect basic biological concepts and entities to directly address unmet medical needs. The goals are to use clinical observation as the basis for hypothesis generation to further basic research and to efficiently advance the product of basic research to patients." Translational Medicine and Therapeutics awards will advance training and support career development of scientists engaged in research that significantly integrates cutting-edge technologies with advanced biological, chemical, and pharmacological sciences and engineering methodologies in such areas as (but not restricted to): * Genetics (Molecular, Pharmaco-, Population, Medical) * Genomics (Functional, Structural, Toxico-, Pharmaco-, Comparative) * Systems (Biology and Pharmacology) * Pathways and networks * Integrative biology * Modeling and simulation * Target Identification and Validation * Biomarker Discovery and Validation * Vaccine Development * Molecular Epidimiology * Imaging * Disease Modeling

This program is a continuation of the Plant Genome Research Program (PGRP) that began in FY 1998 as part of the National Plant Genome Initiative (NPGI). Since the inception of the NPGI and the PGRP, there has been a tremendous increase in the availability of functional genomics tools and sequence resources for use in the study of key crop plants and their models. Proposals are welcomed that build on these resources to develop conceptually new and different ideas and strategies to address grand challenge questions in plants of economic importance on a genome-wide scale. There is also a critical need for the development of novel and creative tools to facilitate new experimental approaches or new ways of analyzing genomic data. Especially encouraged are proposals that provide strong and novel training opportunities integral to the research plan and particularly across disciplines that include, but are not limited to, plant physiology, quantitative genetics, biochemistry, bioinformatics and engineering.Activities in four focus areas will be supported in FY 2014: (1) Genomics-empowered plant research to tackle fundamental questions in plant sciences on a genome-wide scale; (2) Development of tools and resources for plant genome research including novel technologies and analysis tools to enable discovery; (3) Mid-Career Investigator Awards in Plant Genome Research (MCA-PGR) to increase participation of investigators trained primarily in fields other than plant genomics; and, (4) Advancing Basic Research in Economically Important Crop Plants (ABR-PG) to develop sequence resources that are critically needed to enable basic research resources in crop plants.

The National Library of Medicine (NLM) offers support for innovative research in biomedical informatics. The scope of NLM's interest in the research domain of informatics is interdisciplinary, encompassing informatics problem areas in the application domains of health care, public health, basic biomedical research, bioinformatics, biological modeling, translational research and health information management in disasters. NLM defines biomedical informatics as the science of optimal organization, management, presentation and utilization of information relevant to human health and biology. Informatics research produces concepts, tools and approaches that advance what is known in the field and have the capacity to improve human health.  

The purpose of this Funding Opportunity Announcement (FOA) is to support the development of advanced computational, bioinformatic and statistical tools to determine the functional relevance of genetic variants associated with mental disorders of complex etiologies identified through genome-wide association or sequencing studies. The overarching goal of this initiative is to support the development of innovative computational methods that facilitate the elucidation of the functionality of genetic variants associated with mental illness, taking into account the added complexities and nuances of brain diseases, and to ultimately inform the identification and validation of potential targets for novel treatment development. This FOA should be used when two or more sites are needed to complete the study. For a linked set of collaborative R01s, each site must have its own Program Director/Principal Investigator and the set of linked applications provide a mechanism for cross-site coordination, quality control, database management, statistical analysis, and reporting.

Heeyoung Tai (Department of Chemistry & Biochemistry) will host a workshop presented by Dr. Bradley Goodner. Dr. Goodner uses microbial genome annotation (MGAN)/ data mining as a teaching tool in his class, and is supported by NSF to educate others to integrate basic bioinformatics skills to classroom teaching. The workshop will be held October 10 and 11 on Miami's Oxford campus.

The foundation encourages basic and clinical research, including epidemiology. Examples of research topics include factors influencing underage drinking, mechanisms of alcohol-related organ injury, fetal alcohol spectrum disorders, and effects of alcohol on general health. Areas of particular interest include studies on how particular patterns of consumption (quantity of alcohol consumed, types of alcoholic beverages consumed, frequency of consumption, and context) are related to health and behavioral outcomes; and interdisciplinary, bioinformatics, and other approaches to genetic and environmental factors that influence the patterns of consumption of alcoholic beverages and related consequences.

aims to support transformative discoveries that will lead to breakthroughs in understanding human brain function. Guided by the long-term scientific plan, "BRAIN 2025: A Scientific Vision," this FOA specifically seeks to support efforts that will revolutionize our understanding of the biological activity underlying, and bioinformatic content of, data collected using contemporary non-invasive functional brain imaging techniques. The hope is that these transformative discoveries will lead to breakthroughs in understanding the dynamic activity of the human brain.

This Funding Opportunity Announcement (FOA) solicits applications that utilize the wealth of genomic and metagenomic sequencing data available, and recent advances in synthetic biology for the purpose of developing new high-throughput and broadly applicable approaches to natural products discovery. Well-integrated, collaborative research teams possessing synthetic biology, bioinformatics, and natural products expertise are encouraged to apply. Applicants responding to this FOA must also plan for participation in trans-network activities, including collaborative projects with other network participants.   

This program is a continuation of the Plant Genome Research Program (PGRP) that began in FY 1998 as part of the National Plant Genome Initiative (NPGI). Since the inception of the NPGI and the PGRP, there has been a tremendous increase in the availability of functional genomics tools and sequence resources for use in the study of key crop plants and their models. Proposals are welcomed that build on these resources to develop conceptually new and different ideas and strategies to address grand challenge questions in plants of economic importance on a genome-wide scale. There is also a critical need for the development of novel and creative tools to facilitate new experimental approaches or new ways of analyzing genomic data. Especially encouraged are proposals that provide strong and novel training opportunities integral to the research plan and particularly across disciplines that include, but are not limited to, plant physiology, plant breeding, quantitative genetics, biochemistry, bioinformatics and engineering. Activities in four focus areas will be supported in FY 2015: (1) Genomics-empowered plant research (RESEARCH-PGR)to tackle fundamental questions in plant sciences on a genome-wide scale; (2) Development of tools and resources for plant genome research (TOOLS-PGR) including novel technologies and analysis tools to enable discovery; (3) Mid-Career Investigator Awards in Plant Genome Research (MCA-PGR) to increase participation of investigators trained primarily in fields other than plant genomics; and, (4) Early CareerInvestigator Awards in Plant Genome Research (ECA-PGR) to increase the participation of early-career scientists in plant genome research. Proposals addressing these opportunities are welcomed at all scales, from single-investigator projects through multi-investigator, multiinstitution projects, commensurate with the scope and scale of the work proposed. The PGRP encourages proposals from investigators and institutions that have not participate

The purpose of this funding opportunity announcement (FOA) is twofold: (1) to stimulate basic and mechanistic science that facilitates the development of effective probiotics or pre-/probiotic combinations of relevance to human health and disease; and (2) determine biological outcomes for the evaluation of efficacy of pre/probiotics in appropriate test systems and animal models. This FOA encourages basic and mechanistic studies using in vitro, in vivo, ex vivo, and in silico models that focus on prebiotic/probiotic strain selectivity, interaction, and function. It will also encourage inter and multidisciplinary collaborations among scientists in a wide range of disciplines including nutritional science, immunology, microbiomics, genomics, other '-omic' sciences, biotechnology, and bioinformatics.

The purpose of this Funding Opportunity Announcement (FOA) and the companion FOA is to solicit applications for computational and functional analysis of gene networks and complex pathways that confer susceptibility to severe mental illnesses. These studies should leverage existing diverse multi-scale datasets and apply a combination of cutting-edge bioinformatics, computational predictive modeling, and systems biology approaches to identify and begin to evaluate novel genetic factors and molecular networks underlying functional pathways relevant to psychiatric disorders to verify their relationship or causality with disease/disease risk.  The computational model predictions should be further replicated through independent datasets and confirmed using biological measures from existing and/or new experimental data.

This program is a continuation of the Plant Genome Research Program (PGRP) that began in FY 1998 as part of the National Plant Genome Initiative (NPGI). Since the inception of the NPGI and the PGRP, there has been a tremendous increase in the availability of functional genomics tools and sequence resources for use in the study of key crop plants and their models. Proposals are welcomed that build on these resources to develop conceptually new and different ideas and strategies to address grand challenge questions in plants of economic importance on a genome-wide scale. There is also a critical need for the development of novel and creative tools to facilitate new experimental approaches or new ways of analyzing genomic data. Especially encouraged are proposals that provide strong and novel training opportunities integral to the research plan and particularly across disciplines that include, but are not limited to, plant physiology, plant breeding, quantitative genetics, biochemistry, bioinformatics and engineering.

The purpose of this funding opportunity announcement (FOA) is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. This FOA supports fundamental genomics research developing innovative analytical methodologies and approaches, early stage development of tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community. Work supported under this FOA should be enabling for genomics and be generalizable or broadly applicable across diseases and biological systems. All applications should address how the methods would scale to address larger and larger data sets. Also listed under R21