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Mays Cancer Center at UT Health SA

Mays Cancer Center at UT Health SA
UT Health SA 梅斯癌症中心
批准号:
10237953
负责人:
Yidong Chen
金额:
$26.82万
依托单位国家:
美国
项目类别:
财政年份:
1997
资助国家:
美国
项目状态:
未结题
起止时间:
1997-08-01 至 2025-07-31
关键词:
AdoptedAdoptionAreaBasic ScienceBioinformaticsBioinformatics Shared ResourceBiometryCancer CenterCancer EtiologyCatchment AreaCellsChildClinicalClinical DataClinical ResearchClinical TrialsClinical Trials DatabaseClustered Regularly Interspaced Short Palindromic RepeatsCollaborationsCollectionComplexConduct Clinical TrialsDataData AnalysesData CollectionData ScienceData SourcesData Storage and RetrievalDevelopmentDoctor of MedicineDoctor of PhilosophyEducationEnsureEvaluationExperimental DesignsFacultyFosteringFundingGeneticGenomicsGoalsHealthHigh Performance ComputingHigh-Throughput Nucleotide SequencingIndividualInformation ServicesInformation SystemsInfrastructureInvestigationLocationMalignant NeoplasmsManuscriptsMentorshipMethodsMonitorOnline SystemsOutcomePeer ReviewPerformancePhenotypePilot ProjectsPopulation ResearchPopulation StudyPreparationProceduresProcessProductionProductivityProteomicsProtocols documentationPublicationsQuality ControlReportingResearchResearch DesignResearch InstituteResearch PersonnelResearch Project GrantsResearch SupportResource SharingResourcesSafetyServicesStatistical Data InterpretationSystemTechniquesTestingTexasTrainingTraining and EducationTranslational ResearchTreatment outcomeUniversitiesWorkanalytical methodanalytical toolanticancer researchbasebioinformatics resourcebiomedical data sciencecancer health disparityclinical applicationcohortcomputing resourcescost efficientdata de-identificationdata managementdata resourcedata sharingdesignexperienceexperimental studyfaculty supportflexibilitygenomic datagenomic toolsimprovedinnovationinstrumentmedical schoolsmembermolecular diagnosticsnext generation sequencingnovelnovel therapeuticsoperationprogramsprotocol developmentscreeningsquare footsurvival outcometooltool developmenttranslational genomicstreatment trial

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中文摘要
翻译
项目摘要-生物统计学和生物信息学共享资源 生物统计和生物信息学共享资源(BBSR)的目的是提供生物统计和 提供给德克萨斯大学圣安东尼奥分校梅斯癌症中心(MCC)的生物信息学资源 Health SA)。BBSR由教职员工以及高性能计算资源和 自2001年开始运作的基因组和生物统计数据资源。BBSR提供 整合生物统计和生物信息学支持和专业知识;最先进的数据科学设计工具 和发展基础、临床和基于人群的研究;以数据为重点的教育和培训,以 MCC成员和实习生。BBSR由MCC管理。它实际存放在三个地点 包括3669平方英尺。在Long School of Medicine(Long School of Medicine,Long School of Medicine,Long School of Medicine)校区的行政大楼里,占地1321平方英尺。 在MCC大楼,2000平方英尺。在格里希儿童癌症研究所(GCCRI)。确实有 总共有五名辅助教职员工和三名工作人员。BBSR与下一个保持着密切的关系- 生成排序共享资源(NGSSR),用于研究/实验设计以及数据集成 来自临床和以人群为基础的研究调查,具有高通量的数据源。陈一东, 博士(PSP)是BBSR主任,联席主任是Jonathan Gelfond,M.D.,Ph.D.(EDT)。这 集中式核心提供灵活、开放、负责、经济高效的生物统计和生物信息学访问 对所有三个项目的基础、翻译、临床和基于人群的研究至关重要的服务 MCC的。BBSR强调支持新的研究调查。支持服务在 以一致的方式响应个别研究人员的需求,同时优化我们共享的 整个癌症中心的生物统计学和生物信息学资源。提供的服务包括: 方案制定;统计和生物信息学研究/实验设计和规划;生物信息学和 统计分析;统计监测;以及业绩评价。BBSR与人合著了《癌症-- 上一次报告所述期间的相关出版物。2018年,BBSR与30名MCC成员合作, 同行评审的癌症相关资金,占用户总数的45%。BBSR使用量预计将随着 扩大蛋白质组图谱和高通量测序和筛选技术。中的新乐器 用于单小区数据分析的NGSSR,在MSSR中采用独立于数据的采集方法,以及 更多使用CRISPR集中筛选技术的MCC成员将提供新的协作机会 跨共享资源。生物统计服务的使用也预计每年增加约5%。 根据2014-2018年的请求和提供的新服务。
英文摘要
Project Summary—Biostatistics and Bioinformatics Shared Resource The purpose of the Biostatistics and Bioinformatics Shared Resource (BBSR) is to provide biostatistics and bioinformatics resources to the Mays Cancer Center (MCC) at the University of Texas Health San Antonio (UT Health SA). The BBSR is comprised of faculty and staff along with high-performance computing resources and genomic and biostatistical data resources that have been in operation since 2001.The BBSR provides consolidated biostatistical and bioinformatics support and expertise; state-of-the-art data science tools for design and development of basic, clinical, and population-based studies; and data-focused education and training to MCC members and trainees. The BBSR is managed by the MCC. It is physically housed in three locations including 3,669 sq.ft. in the Administration Building on the Long School of Medicine (LSOM) campus, 1,321 sq.ft. in the MCC building, and 2,000 sq.ft. in the Greehey Children’s Cancer Research Institute (GCCRI). There are a total of five supported faculty and three staff members. The BBSR maintains a close relationship with the Next- Generation Sequencing Shared Resource (NGSSR) for study/experimental design as well as integrating data from clinical and population-based research investigations with high-throughput data sources. Yidong Chen, Ph.D. (PSP) is the Director of the BBSR and the co-Director is Jonathan Gelfond, M.D., Ph.D. (EDT). This centralized core provides flexible, open accountable, cost-efficient access to biostatistics and bioinformatics services essential to the basic, translational, clinical and population-based research across all three programs of the MCC. The BBSR emphasizes support of new research investigations. Support services are provided in a consistent manner to be responsive to the needs of individual researchers while optimizing the use of our shared biostatistical and bioinformatics resources across the entire Cancer Center. Services that are provided include: protocol development; statistical and bioinformatics study/experiment design and planning; bioinformatics and statistical analysis; statistical monitoring; and performance evaluation. The BBSR has co-authored 64 cancer- related publications during the last reporting period. In 2018, the BBSR worked with 30 MCC members with peer-reviewed cancer-related funding, 45% of the total number of users. BBSR usage is anticipated to grow with expanding proteomic profiling and high-throughput sequencing and screening techniques. New instruments in the NGSSR for single-cell data analysis, adoption of data-independent acquisition methods in the MSSR, and more MCC members using CRISPR pooled screening techniques will offer new opportunities to collaborate across the Shared Resources. Use of biostatistical services is also expected to increase by about 5% per year based on requests from 2014-2018 and new services offered.
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Mays Cancer Center at UT Health SA
Mays Cancer Center at UT Health SA
Mays Cancer Center at UT Health SA
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