Core C: Data Analytics Core

项目摘要 数据分析核心（核心C）汇集了经验丰富的专业人员团队，以协助生物统计学 和生物信息学方法以及UT西南医学中心（UTSW）的数据管理 肾癌计划（KCP）孢子。核心由安博士指导，他也是 NCI-designated UTSW Simmons Comprehensive Cancer Center（SCCC）的生物统计学共享资源。 核心C是共同导演文卡特马拉迪，M.S.，他是UTSW生物信息学系主任 核心设施和监督基因组学分析（> 3，000 WES/RNA-Seq数据集）。它也是共同导演由 Alana Christie，M.S.，他是KCP生物统计学的联合负责人，负责监督数据管理， 肾癌探索者（KCE），一种开创性的工具，自动从电子邮件中提取信息。 医疗记录，自我更新，并将此信息与实验基因组学以及最先进的 生物银行在OpenSpecimen。在第1 - 6年，核心成员协助研究设计，生物信息学，数据 管理和数据分析，为个别项目，职业提升计划（CEP）和 发展研究计划（DRP），并共同发表了30篇手稿，包括在高影响力的期刊。 核心小组还通过开发新的生物统计学和生物信息学方法作出了重大贡献 对SPORE项目有直接影响。在下一个资助期（7 - 12年），核心将提供国家- 最先进的生物统计学和生物信息学支持以及数据库管理。核心成员将与 SPORE研究者应确保将适当的统计设计纳入所有研究， 在开始时，数据被适当地链接和验证，并且所有结果都根据统计学解释。 以及生物学意义。此外，Core将通过增加功能和链接来扩展KCE 外部资源/数据集。为了支持肾癌SPORE，核心C将协助以下工作 具体目标。目的1：为具有功效计算的实验设计提供强有力的生物统计学支持， 所有KCP SPORE研究活动的统计分析和解释。目标2：提供强大的 生物信息学支持基因组学、代谢组学和免疫库数据预处理、分析 所有KCP SPORE研究活动的解释和可视化。目标3：维持和扩大 开创性的肾癌网络访问工具，与独特的BioBank（包括活体肿瘤）临床数据集成 样品和大量的TG）和广泛的实验基因组学来支持SPORE研究人员， 更广泛地说，肾癌研究界。总之，核心C调查员通过以下方式支持SPORE： 确保合理的方法、严谨性和可重复性，量身定制新方法并提供不断改进的 扩展最先进的数据管理平台，将临床信息、实验基因组学 组织库

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.