Informatics Core

信息学核心

• 批准号: 10505613
• 负责人: Eric Andrew Ross
• 金额: $ 14.23万
• 依托单位: RESEARCH INST OF FOX CHASE CAN CTR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10505613
• 关键词: Achievement; Atlases; Bioinformatics; Biological Markers; Biometry; Cancer Biology; Cancer Control Research; Cell Line; Chemoprevention; Clinical; Clinical Investigator; Clinical Trials; Collaborations; Computer software; Computers; Consult; Data; Data Analyses; Data Storage and Retrieval; Database Management Systems; Databases; Development; Ensure; Environment; Experimental Designs; Fostering; Fox Chase Cancer Center; Future; Goals; Informatics; Information Systems; Infrastructure; Intercept; Knowledge; Laboratories; Laboratory Scientists; Malignant Neoplasms; Manuscripts; Mission; Molecular; Molecular Analysis; Nature; Pathway interactions; Phase; Play; Prevention Research; Procedures; Proteomics; Randomized; Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Research Proposals; Resources; Retrieval; Risk Assessment; Role; Sample Size; Science; Secure; Services; Structure; System; Technology; Writing; anticancer research; archive data; base; cancer prevention; cancer risk; data archive; data management; data repository; data resource; data sharing; design; diverse data; experience; experimental study; flexibility; genetic epidemiology; high risk; innovation; member; novel; pre-clinical; precision cancer prevention; preclinical study; programs; public database; research and development; skills; targeted agent; tool; tumor

PROJECT SUMMARY - INFORMATICS CORE The goal of the Informatics Core (IC) is to facilitate and enhance precision cancer research within the Cancer Prevention-Interception Targeted Agent Discovery Program (CAP-IT) at Fox Chase Cancer Center (FCCC) by providing expert biostatistics, bioinformatics, and data management support to CAP-IT investigators. Members of the Core have substantial knowledge and experience in biostatistics and bioinformatics as applied to cancer prevention research, including cancer risk assessment, biomarker analyses, and preclinical chemoprevention. This highly interactive group of biostatisticians, bioinformaticians and informaticians will provide expertise in experimental design that meets the requirements of rigorous science, statistical and bioinformatics analyses, and informatics capabilities to ensure that all data are of high quality, stored in professionally managed databases, and available for sharing with the CAP-IT Data and Resource Coordination Center (DRCC). It will serve all CAP-IT projects, the Administration Core, and support future CAP-IT projects. The specific goals of the IC are to: (1) Provide expertise in the design of experiments and studies, including research proposal development, sample size determination, randomization procedures, and plans for final analysis; (2) Perform statistical and bioinformatics analyses for CAP-IT investigators to assess validated oncotargets for actionability, druggability, and/or feasibility for cancer prevention and/or interception; (3) Assist with the writing of statistical and bioinformatics components of manuscripts and the interpretation and presentation of results; (4) Provide computer-based tools to facilitate the storage and retrieval of data generated in the proposed research; (5) Collaborate with the CAP-IT DRCC to populate a centralized CAP-IT database for in-network data archiving and sharing; and (6) Perform bioinformatics analyses of molecular data from local data resources, public databases, cell lines and biosamples from high-risk subjects to validate candidate pathways/targets. To accomplish these goals, the IC will leverage software from NCI-sponsored informatics initiatives (e.g., NCI Informatics Technology for Cancer Research) and mine publicly available data resources including the Precancer Atlas and the NCI Clinical Proteomic Tumor Analysis Consortium. By providing quantitative skills and data management and sharing capabilities, the IC will support the FCCC CAP-IT, facilitate achievement of project aims, contribute to the design and conduct of new projects, and enable collaborations with the CAP-IT Network though the DRCC.

项目摘要 - 信息学核心 信息学核心 (IC) 的目标是促进和加强癌症领域内的精准癌症研究 福克斯蔡斯癌症中心 (FCCC) 的预防-拦截靶向药物发现计划 (CAP-IT) 为 CAP-IT 研究人员提供专家生物统计学、生物信息学和数据管理支持。会员 核心人员在应用于癌症的生物统计学和生物信息学方面拥有丰富的知识和经验 预防研究，包括癌症风险评估、生物标志物分析和临床前化学预防。 这个由生物统计学家、生物信息学家和信息学家组成的高度互动的小组将提供以下方面的专业知识： 满足严格科学、统计和生物信息学分析要求的实验设计， 和信息学能力，确保所有数据都是高质量的，并存储在专业管理的 数据库，并可与 CAP-IT 数据和资源协调中心 (DRCC) 共享。它将 为所有 CAP-IT 项目、管理核心提供服务，并支持未来的 CAP-IT 项目。 IC 的具体目标是： (1) 提供实验和研究设计方面的专业知识，包括 研究提案制定、样本量确定、随机化程序和最终计划 分析; (2) 为 CAP-IT 研究人员进行统计和生物信息学分析，以评估经过验证的 癌症预防和/或拦截的可操作性、成药性和/或可行性的肿瘤靶标； (3) 协助 撰写手稿的统计和生物信息学部分以及解释和 结果介绍； (4) 提供基于计算机的工具，方便生成数据的存储和检索 在拟议的研究中； (5) 与 CAP-IT DRCC 合作，填充集中式 CAP-IT 数据库 网内数据归档和共享； (6) 对本地数据的分子数据进行生物信息学分析 来自高风险受试者的资源、公共数据库、细胞系和生物样本来验证候选者 途径/目标。 为了实现这些目标，IC 将利用 NCI 赞助的信息学计划中的软件（例如， NCI 癌症研究信息学技术）并挖掘公开可用的数据资源，包括 癌前图谱和 NCI 临床蛋白质组肿瘤分析联盟。通过提供定量技能和 数据管理和共享功能，IC 将支持 FCCC CAP-IT，促进实现 项目目标，为新项目的设计和实施做出贡献，并实现与 CAP-IT 的合作 通过 DRCC 建立网络。