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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:
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

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中文摘要
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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.
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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
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