Utah Population Database (UPDB)

犹他州人口数据库 (UPDB)

• 批准号: 9935226
• 负责人: Ken R Smith
• 金额: $ 0.36万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9935226
• 关键词: Abbreviations; Adenomatous Polyposis Coli; Affect; Area; BRCA1 gene; BRCA2 gene; Behavioral Research; Bioinformatics; Budgets; CDKN2A gene; Cancer Center; Cancer Center Support Grant; Cancer Family; Cancer Patient; Cancer-Predisposing Gene; Chemicals; Clinical; Clinical Research; Collaborations; Complex; Computer software; Computers; Cost Savings; Custom; DNA; DNA Sequence Alteration; Data; Data Set; Databases; Development; Discipline; Disease; Doctor of Philosophy; Environmental Epidemiology; Environmental Risk Factor; Epidemiology; Equipment; European; Faculty; Family; Family Study; Funding; Genealogy; Genes; Genetic; Genetic Counseling; Genetic screening method; Genetic study; Genomics; Genotype; Geography; Goals; Grant; Hereditary Malignant Neoplasm; High-Risk Cancer; Incidence; Individual; Infrastructure; Institutes; Internet; Investigation; Investments; Laboratories; Link; Malignant Neoplasms; Management Information Systems; Maps; Medical; Medical Genetics; Mission; Molecular Target; NCI Center for Cancer Research; NF1 gene; National Cancer Institute; Natural Language Processing; Neurofibromatosis 1; Pattern; Peer Review; Persons; Pharmaceutical Preparations; Phenotype; Population Database; Prevalence; Productivity; Records; Research; Research Design; Research Personnel; Resource Informatics; Resource Sharing; Resources; Scientist; Secure; Services; Software Engineering; Software Tools; Source; Susceptibility Gene; Syndrome; System; Technology; United States; United States Public Health Service; Update; Utah; acronyms; anticancer research; base; biobank; cancer epidemiology; cancer risk; cost; data management; data mining; data registry; database design; design; electronic data capture system; experimental study; gene discovery; gene environment interaction; genetic epidemiology; genetic pedigree; graphical user interface; health care delivery; human disease; human subject; improved; informatics shared resource; kindred; malignant breast neoplasm; melanoma; member; molecular pathology; mortality; neoplasm registry; neoplasm resource; next generation sequencing; operation; population based; programs; recruit; screening; segregation; software development; software systems; tool

RESEARCH INFORMATICS SHARED RESOURCE ABSTRACT The Research Informatics (RI) Shared Resource, established in 1995, provides Cancer Center members state- of-the-art software engineering, database design, and application and web development, as well as cutting- edge expertise in natural language processing, system design, data mining, and electronic data capture systems. Huntsman Cancer Institute (HCI) covers a majority of the costs of this stable, integrated team of computer professionals, enabling their allocation to the ongoing and new initiatives of highest importance to the cancer mission; priorities are determined by the HCI Director's Cabinet. Samir Courdy, BS, MBA, an accomplished computer scientist with expertise in software engineering and development of large-scale software systems, has directed the RI Shared Resource since 2006 and has managed all software development since 2000. Ms. Cindy Spigle, associate director of the RI Resource since 2011, is responsible for daily operations and assists Mr. Courdy in management. To achieve its goals, the RI Shared Resource provides computing infrastructure, hardware equipment, and services, including the latest advances in front-end graphical user interface (GUI) technologies and secure backend database engines and persistence layers. The RI Shared Resource has developed applications and databases for several other HCI-managed Shared Resources, including High-Throughput Genomics and Bioinformatic Analysis, Genetic Counseling, Biorepository and Molecular Pathology, and the Utah Population Database. The RI Shared Resource supports all four of the Cancer Center's Research Programs with the many software suites the team designs, builds, and supports. These include comprehensive suites of software applications for Cancer Clinical Research (CCR); Biospecimen Management and Annotation (itBioPath); a microarray and next-generation sequencing Laboratory Information Management System (LIMS) and experiment analysis and annotation suite (GNomEx); and a drug/chemical screening annotation and management suite (CSAM). CCR, itBioPath, and GNomEx are integrated systems providing genotype and phenotype associations for research. As software development is beyond the budget of most individual researchers, the RI Shared Resource adds important value to the Cancer Center by enabling a wide variety of researchers to utilize customized software tools without substantial financial investments. The Resource also provides cost savings to researchers by obtaining grant and institutional support to help offset software development costs. In 2013, use of the RI Shared Resource by Cancer Center members with peer-reviewed funding exceeded 57%, while the CCSG budget request is only 6% ($123,370) of the total proposed budget.

研究信息共享资源 摘要 研究信息学（RI）共享资源，成立于1995年，为癌症中心成员提供国家- 最先进的软件工程，数据库设计，应用程序和Web开发，以及切割- 在自然语言处理、系统设计、数据挖掘和电子数据采集方面的前沿专业知识 系统.亨斯迈癌症研究所（HCI）承担了这支稳定的综合团队的大部分费用， 计算机专业人员，使他们能够分配到正在进行的和新的倡议最重要的， 癌症使命;优先级由HCI主任内阁决定。Samir Courdy，BS，MBA，an 他是一位有成就的计算机科学家，在软件工程和大规模 软件系统，自2006年以来一直指导国际扶轮共享资源，并管理所有软件 2000年以来的发展。Cindy Spigle女士自2011年起担任国际扶轮资源部副主任， 负责日常运营，并协助库尔迪先生进行管理。 为了实现其目标，国际扶轮共享资源提供计算基础设施，硬件设备， 和服务，包括前端图形用户界面（GUI）技术和安全技术的最新进展 后端数据库引擎和持久层。国际扶轮共享资源开发了应用程序， 其他几个HCI管理的共享资源的数据库，包括高通量基因组学和 生物信息学分析、遗传咨询、生物储藏和分子病理学以及犹他州人口 数据库国际扶轮共享资源支持癌症中心的所有四个研究计划， 团队设计、构建和支持的许多软件套件。其中包括全面的软件套件 用于癌症临床研究（CCR）的应用程序;生物标本管理和注释（itBioPath）; a 微阵列和下一代测序实验室信息管理系统（LIMS）， 实验分析和注释套件（GNomEx）;以及药物/化学品筛选注释， 管理套件（CSAM）。CCR、itBioPath和GNomEx是提供基因型和 表型相关研究。 由于软件开发超出了大多数研究人员的预算， 为癌症中心增加了重要价值，使各种各样的研究人员能够利用定制的 软件工具，无需大量的财务投资。该资源还节省了成本， 研究人员通过获得赠款和机构支持，以帮助抵消软件开发成本。2013年，使用 的癌症中心成员与同行评审的资金超过57%，而 CCSG的预算请求仅占拟议预算总额的6%（123，370美元）。