Informatics

信息学

基本信息

批准号：
8055333
负责人：
William Steven Dalton
金额：
$ 18.22万
依托单位：
H. LEE MOFFITT CANCER CTR & RES INST
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/8055333
关键词：
Administrator Algorithms Archives Behavioral Bioinformatics Biological Biostatistics Core Cancer Patient Chemistry Clinical Clinical Investigator Communities Computer software Computers Core Facility Data Data Reporting Data Storage and Retrieval Databases Development Diagnosis Event Faculty Genetic Programming Goals Health Imagery Informatics Investigational Therapies Link Machine Learning Malignant Neoplasms Measures Medical Medical History Microscopy Molecular Profiling Pattern Proteomics Research Support Resources Role Sampling Scientist Series Services Specialist Structure System Test Result Testing Time Tissue Microarray United States National Institutes of Health anticancer research base computerized tools data mining data modeling database design design human tissue member operation parallel computing research and development supercomputer tool web interface

项目摘要

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.

信息学核心的目标基于 NIH 定义的生物信息学，即研究、开发或应用计算工具和方法来扩大生物、医学、行为或健康数据，包括获取、存储、组织、存档、分析或可视化此类数据的数据。这信息学核心设施为中心成员提供以下服务：用于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该模型可以捕获并关联任何癌症患者病史中从第一次发生的事件通过一系列测试、测试结果以及相关疗法和实验结果进行诊断。数据存储的数据库设计与实现——为用户提供数据库的模块化设计基于癌症研究的通用数据模型。数据可视化的用户界面 - 数据 Web 界面的设计和实现存储库来容纳报告和数据下载，因为用户会要求这些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调整的专业知识使用任何 Beowolf 风格的超级计算机。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用于分析高维数据，其中测量值的数量远远超过测量值的数量样本并将其简化为一组特征和假设的关系，这些特征和假设关系适合后续由生物统计学核心进行严格测试。注释——人体组织的临床注释，分子的结构和功能注释配置文件。与 CaBIG 集成 - CaBIG 工具的集成均作为综合癌症的官方角色工作空间采用者以及癌症数据标准和结构化工具开发的领导者信息学。 Mary E. Edgerton 博士负责信息学核心的科学运作。她得到了一个人的帮助生物信息学家教职员工和科学家、软件专家、不断扩大的软件团队开发人员、系统管理员和资源经理。除了直接支持研究界，信息学核心与组织、微阵列、蛋白质组学、分析显微镜、高温超导和化学核心以及生物统计学核心。