Core C: Data Analytics Core

核心 C：数据分析核心

• 批准号: 10708848
• 负责人: CHUL W AHN
• 金额: $ 23.67万
• 依托单位: UT SOUTHWESTERN MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10708848
• 关键词: Bioinformatics; Biological; Biological Markers; Biometry; Biostatistics Shared Resource; Cell Line; Cells; Clinical; Clinical Data; Clinical Oncology; Collection; Communication; Communities; Complex; Comprehensive Cancer Center; Computerized Medical Record; Computing Methodologies; Core Facility; Data; Data Analyses; Data Analytics; Data Science; Data Set; Database Management Systems; Development; Ensure; Experimental Designs; Faculty; Funding; Genomics; Immune; Immunology; Individual; Journals; Kidney; Kidney Neoplasms; Lead; Link; Malignant Neoplasms; Manuscripts; Medical center; Methodology; Methods; Modeling; Nature; Neoplasm Metastasis; Patients; Population Sciences; Publications; Publishing; Renal carcinoma; Reporting; Reproducibility; Research; Research Activity; Research Design; Research Personnel; Resources; Sampling; Science; Statistical Data Interpretation; Texas; Tissue Banks; Translations; Universities; Update; Visualization; Work; anticancer research; biobank; cancer cell; career; data integration; data management; design; experience; innovation; member; metabolomics; mid-career faculty; novel; professor; programs; sound; success; tool; transcriptome sequencing; tumor; web-accessible

Project Summary The Data Analytics Core (Core C) brings together a team of experienced professionals to assist with biostatistics and bioinformatics methodologies as well as data management for the UT Southwestern Medical Center (UTSW) Kidney Cancer Program (KCP) SPORE. The Core is directed by Dr. Ahn, who is also the Director of the Biostatistics Shared Resource of the NCI-designated UTSW Simmons Comprehensive Cancer Center (SCCC). Core C is co-directed by Venkat Malladi, M.S., who is the Director of the UTSW Department of Bioinformatics Core Facility and supervises genomics analyses (>3,000 WES/RNA-Seq datasets). It is also co-directed by Alana Christie, M.S., who is the Co-Leader of Biostatistics for the KCP and oversees data management and Kidney Cancer Explorer (KCE), a pioneering tool that automatically extracts information from the electronic medical record, self-updates, and links this information to experimental genomics as well as a state-of-the-art BioBank in OpenSpecimen. During Years 1 – 6, Core members assisted with study design, bioinformatics, data management, and data analysis for individual Projects, the Career Enhancement Program (CEP) and the Developmental Research Program (DRP) and jointly published 30 manuscripts including in high-impact journals. The Core also made significant contributions by developing novel biostatistics and bioinformatics methodologies with direct impact on SPORE Projects. For the next funding period (Years 7 – 12), the Core will provide state-of- the-art biostatistics and bioinformatics support as well as database management. Core members will work with SPORE investigators to ensure that the appropriate statistical design is incorporated into all studies from their inception, that the data are appropriately linked and validated, and that all results are interpreted on statistical as well as biological significance. In addition, the Core will expand KCE by increasing functionality and linking it to external resources/datasets. To support the kidney cancer SPORE, Core C will assist with the following Specific Aims. Aim 1: To provide strong biostatistical support for experimental design with power calculation, statistical analysis, and interpretation for all KCP SPORE research activities. Aim 2: To provide strong bioinformatics support for genomic, metabolomic, and immune repertoire data preprocessing, analysis, interpretation, and visualization for all KCP SPORE research activities. Aim 3: To maintain and expand upon a pioneering kidney cancer web-accessible tool clinical data integration with a unique BioBank (including live tumor samples and a vast number of TGs) and extensive experimental genomics to support SPORE investigators and, more broadly, the kidney cancer research community. In summary, Core C investigators support the SPORE by ensuring sound methodology, rigor and reproducibility, tailored new methodologies and providing an ever- expanding state-of-the-art data management platform linking clinical information, experimental genomics, and the tissue bank.

项目摘要 数据分析核心(核心C)汇集了一支经验丰富的专业团队，以协助进行生物统计 和生物信息学方法以及德克萨斯大学西南医学中心(UTSW)的数据管理 肾癌计划(KCP)孢子。核心是由安博士执导的，他也是 NCI指定的西蒙斯大学西蒙斯综合癌症中心(SCCC)生物统计共享资源。 CORE C的共同导演是文卡特·马拉迪，M.S.，他是UTSW生物信息学部门的主任 核心设备和监督基因组分析(&gt；3,000 Wes/RNA-Seq数据集)。该片也是由 Alana Christie，M.S.，KCP生物统计学联合负责人，负责数据管理和 肾癌探索者(KCE)，一个开创性的工具，自动从电子邮件中提取信息 医疗记录，自我更新，并将这些信息链接到实验基因组学以及最新的 Openspecimen的生物库。在1-6年间，核心成员协助研究设计、生物信息学、数据 个人项目的管理和数据分析、职业提升方案(CEP)和 发展研究计划(DRP)，并联合发表了30篇手稿，包括在高影响力的期刊上。 核心还通过开发新的生物统计和生物信息学方法作出了重大贡献 对孢子项目有直接影响。在下一个供资期间(第7-12年)，核心将提供 最先进的生物统计和生物信息学支持以及数据库管理。核心成员将与 孢子调查人员确保将适当的统计设计纳入其所有研究中 开始时，数据得到适当的联系和验证，所有结果都以统计为基础进行解释 以及生物学上的意义。此外，核心将通过增加功能并将其链接来扩展KCE 到外部资源/数据集。为了支持肾癌孢子，Core C将在以下方面提供帮助 明确的目标。目的1：为幂计算试验设计提供强有力的生物统计学支持， 对所有KCP孢子研究活动进行统计分析和解释。目标2：提供强大的 生物信息学支持基因组、代谢和免疫谱系数据的预处理、分析、 对所有KCP孢子研究活动进行解释和可视化。目标3：维持和扩大 首创的肾癌网络可访问工具与独特的生物库(包括活体肿瘤)集成临床数据 样本和大量TGS)和广泛的实验基因组学，以支持孢子调查人员和， 更广泛地说，是肾癌研究界。总而言之，Core C调查人员通过以下方式支持孢子 确保健全的方法、严谨和可重复性、量身定制的新方法，并提供前所未有的 扩展最先进的数据管理平台，将临床信息、实验基因组学和 组织银行。