Informatics

信息学核心的目标是基于NIH定义的生物信息学，即研究、开发或 应用计算工具和方法，以扩大生物、医学、行为学或 健康数据，包括用于获取、存储、组织、存档、分析或可视化此类数据的数据。这个 信息学核心设施为中心成员提供以下服务： 数据组织的数据建模--基于癌症的结构化数据的开发和使用 一种模型，可以捕捉和关联任何癌症患者病史中的事件，因为它是从第一次开始展开的 通过一系列测试、测试结果以及相关治疗和实验结果进行诊断。 面向数据存储的数据库设计与实现--面向用户的数据库模块化设计 基于癌症研究的广义数据模型。 数据可视化的用户界面.数据网络界面的设计和实现 用于容纳报告和数据下载的存储库，因为它们将由用户请求，范围 从临床研究人员到计算机科学家。 并行计算-并行计算算法开发和改编方面的专业知识 使用几台Beowolf式超级计算机中的任何一台。 数据挖掘和模式分析-机器学习和遗传算法方面的专业知识，可以 用于分析高维数据，其中测量值的数量远远超过 采样并将其简化为一组可服从于后续操作的要素和假设关系 由生物统计核心进行的严格测试。 人体组织的临床注释和分子的结构和功能注释 配置文件。 与CaBIG整合-将CaBIG工具作为整合癌症的官方角色进行整合 工作空间采用者，并在开发癌症数据标准和结构化工具方面处于领先地位 信息学。 玛丽·E·埃杰顿博士负责信息学核心的科学操作。她得到了一位 生物信息学教职员工和科学家，软件专家，不断扩大的软件群体 开发人员、系统管理员和资源管理员。除了直接支持 研究社区，信息学核心与组织、微阵列、 蛋白质组学、分析显微镜、高温超导与化学核心和生物统计学核心。

The goal of the Informatics Core is based on bioinformatics as defined by NIH as research, development, or application of computational tools and approaches for expanding the use of biological, medical, behavioral or health data, including those to acquire, store, organize, archive, analyze, or visualize such data. The Informatics Core Facility provides the following services to Center members: Data Modeling for Organization of Data - development and use of a structured, cancer based data model that captures and relates events in any cancer patient's medical history as it unfolds from a first time diagnosis through a series of tests, test results, and linked therapies and experimental results. Database Design and Implementation for Storage of Data - modular design of databases for users based on the generalized data model for cancer research. User Interfaces for Visualization of Data - design and implementation of web interfaces to data repositories to accommodate reports and data downloads, as they would be requested by users ranging from clinical investigators to computer scientists. Parallel Computation - expertise in development and adaptation of algorithms for parallel computation using any of several Beowolf style supercomputers. Data Mining and Pattern Analysis - expertise in machine learning and genetic algorithms that can be used to analyze high dimensional data where the number of measured values far exceeds the number of samples and reduce it to a set of features and hypothesized relationships that are amenable to subsequent rigorous testing by the Biostatistics Core. Annotation - clinical annotation of human tissues, and structural and functional annotation of molecular profiles. Integration with CaBIG - integration of CaBIG tools both in official role as Integrative Cancer Workspace adopter and as a leader in the development of data standards and structured tools for cancer informatics. Dr. Mary E. Edgerton is responsible for the scientific operations of the Informatics Core. She is aided by a staff of bioinformatician faculty and staff scientists, a software specialist, an expanding group of software developers, a systems administrator, and a resource manager. In addition to directly supporting the research community, the Informatics Core has close collaborative interactions with the Tissue, Microarray, Proteomics, Analytic Microscopy, HTS & Chemistry Core and Biostatistics Core.