课题基金 / 基金详情

SAM Project NIDA P30 Center

SAM Project NIDA P30 Center
SAM 项目 NIDA P30 中心
批准号:
9360450
负责人:
SAUNAK SEN
金额:
$34.21万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至
关键词:
AcuteAddressAgeAlgorithmsAnalysis of VarianceAnimal ModelArchivesArtificial IntelligenceBehaviorBehavioralBioinformaticsCellsCodeCollaborationsCommunitiesComplexComputer softwareComputing MethodologiesDNADataData AnalysesData QualityData SetData SourcesDatabasesDetectionDevelopmentDimensionsDiseaseDissectionDocumentationDrug abuseElectrophysiology (science)EnvironmentEnvironmental Risk FactorEpigenetic ProcessExperimental DesignsGalaxyGeneticGenetic TranslationGenomeGenomicsGenotypeGenotype-Tissue Expression ProjectGoalsHumanImageInformaticsInstitutionLaboratoriesLearningLinkMachine LearningMapsMetadataMethodsModelingMusNational Institute of Drug AbuseNational Institute on Alcohol Abuse and AlcoholismNeurosciencesOnline SystemsOutcome MeasureParticipantPatternPharmaceutical PreparationsPharmacotherapyPhenotypePopulationPreventionQuantitative Trait LociRNARattusReproducibilityResearchResearch PersonnelResearch SupportResourcesRiskRisk FactorsRodentRunningSecureStandardizationStatistical MethodsStrategic PlanningStressSumSupervisionSystemTechniquesTestingTimeTrainingUnited States National Institutes of HealthValidationVisualization softwareWorkWritingaddictionbasebehavior influencebrain cellclinically relevantcofactorcohortcomparison groupcomputerized toolsdata integrationdata modelingdrug relapseexperiencegenetic variantgenome wide association studygraphical user interfacehigh dimensionalityimprovedinformation frameworkinnovationinteroperabilitylearning strategyneuronal circuitrynovelprecision medicinepreventprogramsranpirnasesexskillssoftware systemssupercomputertooltranscriptometranscriptome sequencingtranscriptomics

项目摘要

项目成果

SAUNAK SEN的其他基金

相似基金

相关文献

中文摘要
翻译
成瘾是一种高度复杂的疾病,其风险因素包括遗传变异和 发展、性和环境。精准医疗改善药物治疗的长期潜力 预防依赖于更好地了解遗传学、药物、脑细胞和 神经回路相互作用影响行为。存在严重的技术障碍, 以及临床医生在成瘾研究中引入更强大的计算和预测方法。 NIDA P30核心卓越中心在组学,系统遗传学和成瘾 是授权和培训由NIH、NIDA、NIAAA和其他联邦和州机构支持的研究人员 使用更多的定量和可测试的方法来分析遗传,表观遗传和环境因素, 影响药物滥用风险和治疗。行政核心管理研究核心之间的关系, 用户组、受训人员和试点项目参与者。转录组信息学与机制 研究核心汇集并分析了数百个大型基因组(DNA)和转录组(RNA)数据集 用于实验性啮齿动物(大鼠)成瘾模型。系统分析和建模研究的核心是 使用创新的系统遗传学方法和机器学习方法来探索 DNA差异、压力等环境风险以及药物滥用和复发的不同风险。的 Pilot Core正在促进成瘾研究领域年轻研究人员之间的新合作。总之 该中心是一个国家资源,用于成瘾方面的更多可重复研究。我们正在集中,归档, 分发、分析和整合高质量的数据、元数据,使用开放式软件系统, 与许多其他研究团队合作。我们的目标是帮助建立一个NIDA Addicome门户网站 这将包括所有与成瘾研究相关的基因组研究。
英文摘要
Addiction is a highly complex disease with risk factors that include genetic variants and differences in development, sex, and environment. The long term potential of precision medicine to improve drug treatment and prevention depends on gaining a much better understanding how genetics, drugs, brain cells, and neuronal circuitry interact to influence behavior. There are serious technical barriers that prevent researchers and clinicians from incorporating more powerful computational and predictive methods in addiction research. The purpose of the NIDA P30 Core Center of Excellence in Omics, Systems Genetics, and the Addictome is to empower and train researchers supported by NIH, NIDA, NIAAA, and other federal and state institutions to use more quantitative and testable ways to analyze genetic, epigenetic, and the environmental factors that influence drug abuse risk and treatment. The Administrative Core manages relations among research cores, groups of users, trainees, and pilot program participants. The Transcriptome Informatics and Mechanisms research core assembles and analyzes hundreds of large genome (DNA) and transcriptome (RNA) datasets for experimental rodent (rat) models of addiction. The Systems Analytics and Modeling research core is using innovative systems genetics methods and machine learning methods to explore the linkage between DNA differences, environmental risks such as stress, and the differential risk of drug abuse and relapse. The Pilot core is catalyzing new collaborations among young investigator in the field of addiction research. In sum the Center is a national resource for more reproducible research in addiction. We are centralizing, archiving, distributing, analyzing and integrating high quality data, metadata, using open software systems in collaboration with many other teams of researchers. Our goal is to help build toward an NIDA Addictome Portal that will include all genomic research relevant to addiction research.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
SAM Project NIDA P30 Center
A Unified High Performance Web Service for Systems Genetics and Precision Medicine
Statistical Methods for Experimental Genome Populations
Statistical Methods for Experimental Genome Populations
海外基金