Data Science Core

数据科学核心

• 批准号: 10438720
• 负责人: Brooke L Fridley
• 金额: $ 15.03万
• 依托单位: H. LEE MOFFITT CANCER CTR & RES INST
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-25 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10438720
• 关键词: Area; Bioinformatics; Biometry; Cancer Patient; ChIP-seq; Computer software; Data; Data Analyses; Data Science; Data Science Core; Databases; Development; Ensure; Experimental Designs; FAIR principles; Faculty; Genomics; Goals; Guidelines; Immunotherapy; In Vitro; Informatics; Knowledge Discovery; Lead; Location; Lung; Malignant Neoplasms; Malignant neoplasm of lung; Manuscripts; Mass Spectrum Analysis; Metabolic; Metabolism; Metadata; Methods; Mission; Molecular; Molecular Analysis; Outcome; Pathologic; Pathology; Pre-Clinical Model; Preparation; Procedures; Program Research Project Grants; Proteomics; Quality Control; Randomized; Reporting; Reproducibility; Research; Research Personnel; Research Project Grants; Research Support; Sampling; Services; Specimen; Statistical Data Interpretation; Therapeutic; Translations; Visualization; Visualization software; Work; bioinformatics tool; data exchange; data integration; data quality; data repository; data sharing; data visualization; design; digital; experience; experimental study; high dimensionality; improved; in vitro Model; in vivo Model; innovation; member; metabolomics; method development; multidisciplinary; programs; research and development; response; skills; synergism; therapeutic target; tool; transcriptome sequencing; transcriptomics; translational research program; treatment strategy; virtual

CORE 4 PROJECT SUMMARY DATA SCIENCE CORE The mission of the Data Science Core (Core #4) is to serve as the focal point from which Program Project investigators can draw statistical, bioinformatic, and informatics expertise for the completion of their lung research projects. Core #4 members have extensive experience in applied cancer biostatistics and bioinformatics and will be involved in all projects to help investigators with the data science needs of their projects. As studies proceed, Core #4 members will contribute to the refinement of standard operating procedures in response to realities of fieldwork, integrate data, conduct data quality-control studies, and produce necessary reports. As projects yield results, the Core #4 will conduct analyses and assist investigators with the preparation of presentations and manuscripts. To achieve the overarching goal to develop a comprehensive research program focused on the translation of new treatments for lung cancer the Core #4 has the following specific aims. Aim 1: To provide statistical expertise from project initiation through completion. The Core #4 will support all statistical analyses required for the completion of the projects, including but not limited to: experimental design (randomization); power calculation; statistical association analysis of molecular data (metabolomics, transcriptomic); and analysis of data from in vitro and in vivo models. Aim 2: To provide bioinformatics analysis and support for the research projects. Using state of the art bioinformatics tools the Core #4 will analyze various types of high-dimensional, molecular data, such as data generated via sequencing or mass spectrometry resulting from the various projects. Aim 3: To provide database and data integration services for projects and cores. As part of Aim 3, the Core #4 will develop the Lung Cancer Data Repository (LCDR) to storage all data and metadata related to the experiments into a single virtual location for cross-project integration. In summary, the Core #4 will provide value and scientific impact to the proposed projects through quantitative expertise aligned with the goal of determining metabolic vulnerabilities in lung cancer that would lead to new treatment strategies for lung cancer patients.

核心4项目摘要 数据科学核心 数据科学核心（核心#4）的使命是作为计划项目的焦点 研究人员可以利用统计学、生物信息学和信息学专业知识来完成他们的肺 研究项目。核心#4成员在应用癌症生物统计学方面具有丰富的经验， 生物信息学，并将参与所有项目，以帮助研究人员与他们的数据科学需求， 项目随着研究的进行，核心#4成员将为标准操作的完善做出贡献。 根据实地工作的实际情况，整合数据，进行数据质量控制研究， 必要的报告。随着项目产生结果，核心#4将进行分析，并协助调查人员 准备演讲稿和手稿。为了实现制定一项全面的 一项专注于翻译肺癌新疗法的研究计划，核心#4有以下内容 具体目标。目标1：从项目开始到完成提供统计专门知识。核心#4将 支持完成项目所需的所有统计分析，包括但不限于： 实验设计（随机化）;功效计算;分子数据的统计关联分析 （代谢组学、转录组学）;以及来自体外和体内模型的数据分析。目标2：提供 生物信息学分析和研究项目的支持。使用最先进的生物信息学工具， #4将分析各种类型的高维分子数据，例如通过测序或测序生成的数据。 各种项目产生的质谱分析。目标3：提供数据库和数据集成服务 项目和核心。作为目标3的一部分，核心4将开发肺癌数据库（LCDR）， 将与实验相关的所有数据和元数据存储到单个虚拟位置，以进行跨项目集成。 总而言之，核心4将通过定量分析为拟议项目提供价值和科学影响， 专业知识与确定肺癌代谢脆弱性的目标相一致，这将导致新的 肺癌患者的治疗策略