Bioinformatics Core
Bioinformatics Core
批准号:
9314600
负责人:
Youping Deng
金额:
$20.59万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2020-06-30
关键词:
AdoptedAdoptionAwardBasic ScienceBig DataBioinformaticsBiological SciencesBiologyBiomedical ResearchBiotechnologyBusinessesCaliberCenters of Research ExcellenceClinical SciencesCollaborationsCommunicable DiseasesCommunitiesCommunity PracticeCommunity of PracticeCore FacilityCustomDataData AnalysesData ScienceDatabasesDevelopmentDiagnosticDisciplineDiseaseEducational workshopEffectivenessEligibility DeterminationEmerging Communicable DiseasesEnsureEpigenetic ProcessEquilibriumExtramural ActivitiesFacultyFosteringFundingFunding AgencyGenerationsGeneticGenomicsGrowthHawaiiHealthHospitalsHumanInformation TechnologyInstitutionInstitutionalizationKnowledgeLettersMarketingMedicineMethodsMissionNeeds AssessmentOccupationsPerformancePhasePlayPositioning AttributePreventivePrivatizationProceduresProcessResearchResearch InfrastructureResearch PersonnelResourcesRiskRoleScienceScientific InquiryServicesSourceStrategic PlanningStreamSurveysSystemTechniquesTechnologyTimeTrainingTraining and EducationTranslational ResearchTreatment EfficacyUniversitiesVaccinesWorkbasebiological researchcohesioncomplex biological systemscomputing resourcescyber infrastructuredesignempoweredimprovednext generation sequencingoperationoutreachpreventprogramssatisfactionsuccesstooluser-friendlyweb portal
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary for the Bioinformatics Core
Explosive growth in powerful bioinformatics tools and continued refinements in well-annotated databases have
accelerated the acquisition of new knowledge about the myriad genetic and epigenetic determinants of
infectious diseases and other diseases that cause untold human suffering. In this regard, big-data science
holds the promise for personalized, predictive, preventive and participatory medicine to improve human health
and prevent disease. Thus, the importance of sustaining the Bioinformatics Core cannot be overstated. During
COBRE Phase II, the Bioinformatics Core placed a major emphasis on providing customized support and
collaborative services, on developing new and improved bioinformatics tools, and on conducting intensive
educational courses and hands-on training workshops.
The Phase III COBRE objective of facilitating the transition of the Bioinformatics Core into a sustainable state-
of-the-art core facility capable of supporting high-caliber research on new, emerging and re-emerging
infectious diseases, as well as other fields of scientific inquiry, will be achieved by (1) enhancing and
streamlining core operations; (2) growing and diversifying the user base, capability, capacity and reach; and
(3) strengthening the core infrastructure. For Aim 1, needs assessments and user satisfaction surveys will be
conducted to ensure efficiency and effectiveness of core operations at the core/user interface and user
services. For Aim 2, outreach and marketing activities will be expanded to other local academic institutions,
biotech companies and hospitals beyond the UH System, and strong partnerships will be formed with similar
cores located in other COBRE, INBRE and IDeA-CTR programs to further grow and diversify the core user
base and to acquire new tools and techniques. And for Aim 3, institutionalization and phased-in business plans
will be developed during the Phase III COBRE to draw on intramural and extramural sources for sustainability.
It is envisioned that the Bioinformatics Core will achieve each of the above-stated specific aims. A strong
commitment by the President of the UH System to fully support the Bioinformatics Core infrastructure, with
professional positions and support staff, within the next five years is part of a larger strategic plan to
institutionalize bioinformatics as one of the four principal pillars in the Division of Cyberinfrastructure. Thus,
there is every reason to be optimistic that the Bioinformatics Core will be transformed into a system-wide
bioinformatics resource to confront the challenges of big-data science.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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海外基金