Proteomics & Genomics Hands-On Workshop: From Sample Preparation to Data Analysis
Proteomics & Genomics Hands-On Workshop: From Sample Preparation to Data Analysis
批准号:
7284295
负责人:
Nichole A Reisdorph
金额:
$14.21万
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-05 至 2010-08-31
关键词:
Access to InformationAddressAdministratorAdvertisingAmericanAnimal ModelAppendixApplications GrantsArchivesAreaArtsBase SequenceBiochemistryBioethicsBioinformaticsBiologicalBiological AssayBiological SciencesBiologyBiomedical ResearchBiometryBiotinBloodBook ReviewsCalibrationChargeCheeseClassClinicalClinical NutritionCloningCluster AnalysisCoenzyme ACollaborationsCollectionColoradoCommunicationComplementary DNAComplexComputer softwareCongressesCopyrightCore FacilityDailyDataData AnalysesData SetData SourcesData Storage and RetrievalDatabasesDepthDevelopmentDigestionDrug MonitoringEducationEducational CurriculumEducational MaterialsEducational process of instructingEducational workshopElectrospray IonizationElementsEnsureEpigenetic ProcessEvaluationEventEvolutionExperimental DesignsExposure toExtensible Markup LanguageFacultyFeedbackFlowchartsFractionationFunctional RNAFundingFutureGelGene ExpressionGenesGenetic TranscriptionGenomeGenomicsGoalsGraduate EducationGrantGuidelinesHandHand functionsHealth SciencesHealthcareHeartHematological DiseaseHigh Pressure Liquid ChromatographyHourHumanHuman ResourcesHybridsImageryIn VitroIndividualIndustryInstitutesInstructionInternationalInternetInvestigationIonsJointsJournalsKnowledgeLabelLaboratoriesLanguageLeadLearningLettersLifeLinkLiteratureLungMailsManualsManufacturer NameMapsMarketingMass Spectrum AnalysisMeasurementMeasuresMediationMetadataMethodsMicroRNAsMicroarray AnalysisModelingMolecular BiologyMolecular Biology TechniquesMonitorNatureNewsletterNorthern BlottingNucleic AcidsNucleotidesNumbersNutritional StudyOnline SystemsOntologyOrthologous GeneOutcomeOutputPamphletsParticipantPatternPeptidesPerformancePhosphopeptidesPhosphoproteinsPolymerase Chain ReactionPostdoctoral FellowPreparationPrincipal InvestigatorProceduresProcessProgram EvaluationPropertyProteinsProteomeProteomicsProtocols documentationProviderPublicationsPublished CommentPurposeQuestionnairesRNARNA Sequence AnalysisRandomizedReactionRecruitment ActivityResearchResearch DesignResearch PersonnelResolutionResourcesReverse Transcriptase Polymerase Chain ReactionReview CommitteeReview LiteratureRoleRotationRunningSalesSample SizeSamplingSan FranciscoScheduleScholarshipScienceScientistScoreSequence AnalysisServicesSiteSleep DisordersSmall Interfering RNASocietiesSolutionsSourceSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSpottingsStaining methodStainsStandardizationStructureStudentsSurveysSystemSystems BiologyTeaching MethodTechniquesTechnologyTelephoneTestingTherapeuticTimeToxicologyTrainers TrainingTrainingTraining ActivityTraining ProgramsTravelTwo-Dimensional Gel ElectrophoresisUnified Medical Language SystemUnited States National Institutes of HealthUniversitiesUpdateValidationVendorVideotapeVisionVisitVotingWeekWineWorkWritingabstractinganalytical methodbasecomparativeconceptcostdaydesigndetectorexperiencefollow-uphigh schoolindexinginstructorinstrumentinstrumentationinterestinvestigator trainingjournal articlelecturerlecturesliquid chromatography mass spectrometrymass spectrometermembernanonovelnovel strategiesnucleic acid purificationoutreach programperforming artposterspreferenceprogramsprotein structureprotein structure predictionresearch studyresponsesample collectionskillssocial groupstatisticssuccesssymposiumtheoriesthree dimensional structuretoolwiki
中文摘要
描述(由申请人提供):
近年来,基因组学和蛋白质组学已成为生物医学研究的关键技术,
这导致热衷于在研究中利用这些技术的调查人员对培训的兴趣激增。使用这些先进技术需要训练有素的人员,以产生有价值的结果,高质量的出版物,和上级赠款申请。为了获得最大效益,教育最好在实验开始之前进行,以减少选择错误平台的可能性。例如,整合“组学”技术的第一步是发展一个明确的假设,明确定义正在调查的研究问题。为了检验假设,研究人员必须选择使用哪种平台,这需要了解可用的技术以及每种方法的优缺点。或者,研究人员可能会确定基因组学和蛋白质组学方法的组合是必要的。仔细的实验设计对项目的成功以及对结果的解释至关重要。鉴于这些技术产生的大型数据集,生物统计学,数据分析和生物信息学的知识是至关重要的,这些领域的许多研究人员需要额外的培训,特别是在“组学”研究的背景下。为了解决上述问题,至少可以提供两种类型的“组学”技术培训。
设想:1)以讲习班形式进行的即时短期培训,以及2)以研究生教育计划形式进行的长期全面指导。目前的建议旨在通过在一个连贯的、以实验为基础的框架内提供基因组学和蛋白质组学方面的实践培训来满足前一种需求。该提案的董事已经开发和教授了涵盖蛋白质组学,基因组学,生物信息学和生物统计学的课程,拟议课程的课程将融合他们的专业知识,以提供这些关键技术的全面培训概述。具体而言,我们建议实现以下目标:建立一个能够在蛋白质组学和基因组学技术方面进行成果结构化学习的课程,由经验丰富的调查人员和教育工作者利用实践技术和既定模式提供新的培训经验,传播教育材料,使知识和信息能够用于造福于各种各样的受众,并为年轻和成熟的调查人员提供和/或充当合作机会的门户。
(End摘要)
英文摘要
DESCRIPTION (provided by applicant):
In recent years, genomics and proteomics have emerged as key technologies in biomedical research,
resulting in a surge of interest in training by investigators keen to utilize these technologies in their research. Use of these advanced technologies requires trained personnel in order to produce valuable results, quality publications, and superior grant applications. To be of maximum benefit, education should ideally occur before experiments are begun, in order to lessen the possibility that the wrong platform is chosen. For example, a first step toward integrating "omics" technologies is the development of a well-stated hypothesis which clearly defines the research question under investigation. In order to test the hypothesis, the researcher must choose which platform to utilize and this requires an understanding of the technology available and the strengths and weaknesses of each approach. Alternatively, an investigator may determine that a combination of genomics and proteomics approaches is necessary. Careful experimental design is then critical to the success of the project as well as for interpreting the results. Given the large datasets generated by these technologies, knowledge of biostatistics, data analysis, and bioinformatics are vital and these are areas in which many investigators require additional training, specifically in the context of "omics" research. To address the issues outlined above, at least two types of training in "omics" technologies can be
envisioned: 1) immediate, short-term training in the form of workshops, and 2) long-term, comprehensive instruction in the form of graduate education programs. The current proposal aims to fill the former need by providing hands-on training in genomics and proteomics in a coherent, experimentally-based framework. The Directors of the proposal have developed and taught courses covering Proteomics, Genomics, Bioinformatics, and Biostatistics and the curriculum for the proposed course will merge their expertise to provide a comprehensive training overview of these key technologies. Specifically, we propose to accomplish the following: build a curriculum enabling outcome-structured learning in proteomics and genomics technologies, provide novel training experiences using hands-on techniques and an established model by experienced investigators and educators, disseminate educational materials such that knowledge and information can be used to benefit a wide variety of audiences, and provide and/or act as portal for collaborative opportunities for both young and established investigators.
(End of Abstract)
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