Core 004 (377) Cancer Informatics

项目总结 分析、管理和解释在可获得基因组学时代积累的数据包括 巨大的挑战。由信息学和计算科学家组成的共享资源，一组 了解生物医学和计算机科学方法论的受过专门培训的专业人员 成员、IT专业人员和计算科学家之间的协作差距。该计划的总体目标 癌症信息学核心(CIC)旨在促进莫菲特癌症中心的生物医学和翻译研究 (MCC)成员通过实施和开发记录、整合、管理 分析、可视化和共享生物医学、行为和临床数据。为了实现目标，中投公司的 具体目标是： 1)为成员的组学项目提供生物信息学项目设计、分析、生物 解释和可视化：CIC提供生物信息学和大数据分析以及 与生物统计核心(BC)密切合作，为成员提供无缝的分析服务 涉及表达谱分析、下一代测序和蛋白质组学的项目。服务包括QC、 归一化、批量修正、表型分析和生物途径丰富。 2)使用针对研究的信息学工具支持成员的数据管理和报告需求： 为成员生物医学研究收集复杂的、特定于研究的数据，包括大型多项 项目研究，如孢子。 3)提供教育机会，培训成员和工作人员使用生物信息学 资源和工具：公共资源可供成员和工作人员提取生物医学数据和 知识，利用整个科学界的工作。CIC为会员提供以下方面的培训 了解并直接访问这些资源。 CIC包括三名教职员工、一名核心设施经理、五名科学家和三名软件人员 开发商。CIC生物信息学教师将50%-70%的精力投入到MCC合作研究活动中， 得到CCSG、其他赠款和机构资金的支持。工作人员科学家和软件开发人员 100%致力于CIC，得到CCSG资金、按存储容量使用计费和机构支持的支持。CIC教职员工 和工作人员参与科学研究的所有阶段，从支持实验设计(与 生物统计核心)到研究成果的出版。中投公司在成员中发挥了重大影响 通过基因组学、蛋白质组学和表达谱中的生物信息学分析进行的研究导致 在《自然遗传学》和《癌症研究》等期刊上发表影响较大的出版物。五年来， CIC资助了所有计划成员的科学项目，发表了62篇论文。在大多数情况下 最近一个财年，CIC支持了35个成员，其中84%的使用量是由同行评议资助的成员提供的。

PROJECT SUMMARY Analyzing, managing, and interpreting data accumulated in the age of accessible genomics involves tremendous challenges. A shared resource consisting of informatics and computational scientists, a group of specially trained professionals who understand both biomedical and computer science methodologies, fills the collaboration gap between members, IT professionals, and computational scientists. The overall goal of the Cancer Informatics Core (CIC) is to facilitate the biomedical and translational research of Moffitt Cancer Center (MCC) members through implementation and development of methods and tools to record, integrate, manage, analyze, visualize, and share biomedical, behavioral, and clinical data. To accomplish its goal, the CIC's Specific Aims are to: 1) Support members' 'omics projects with bioinformatics project design, analysis, biological interpretation, and visualizations: The CIC provides bioinformatics and big data analysis and collaborates closely with the Biostatistics Core (BC) to provide seamless analytical services for member projects involving expression profiling, next-generation sequencing, and proteomics. Services include QC, normalization, batch correction, phenotypic analysis, and biological pathway enrichment. 2) Support members' data management and reporting needs with study-specific informatics tools: Complex, study-specific data are collected for member biomedical research studies, including large multi- project studies such as SPOREs. 3) Provide educational opportunities to train members and staff on the use of bioinformatics resources and tools: Public resources are available for members and staff to extract biomedical data and knowledge, leveraging work of the entire scientific community. The CIC provides training for members for awareness of and access to these resources directly. The CIC includes three faculty members, a core facility manager, five staff scientists, and three software developers. CIC bioinformatics faculty devote 50-70% effort to MCC collaborative research activities, supported by CCSG, other grant, and institutional funding. Staff scientists and software developers are dedicated 100% to the CIC, supported by CCSG funding, chargebacks, and institutional support. CIC faculty and staff members are involved in all stages of scientific research, from supporting experimental design (with the Biostatistics Core) to publication of research findings. The CIC has provided significant impact in member research studies through bioinformatics analysis in genomics, proteomics, and expression profiling resulting in high-impact publications in journals such as Nature Genetics and Cancer Research. Over the past five years, the CIC has supported scientific projects of members of all programs, resulting in 62 publications. In the most recent fiscal year, the CIC supported 35 members, with 84% of usage by peer-review-funded members.