LSUHSC COBRE: BIOINFORMATICS IN VIRAL MOLECULAR BIOLOGY

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 基础设施：核心C：病毒分子生物学中的生物信息学 Marjan Trutschl，董事 高通量技术已经成为研究生物系统不可或缺的工具，从基因表达水平的变化、蛋白质浓度，到它们在复杂疾病和系统细胞和完整生物体中的修饰和相互作用。专注于生物信息学的核心C对科布雷项目来说是新的。Core的教员通过LSUHSC-S的微阵列设施与Cobre相关教员在几个项目上进行了合作。对生物信息学服务的需求随着处理的微阵列数量的增加而增长。 核心协助Cobre项目的计算方面，包括统计和高通量分析的所有方面，如实验设计、数据标准化和标准化、路径和其他验证性分析、数据存储、共享和管理以及将与项目有关的数据纳入公共数据库。这一核心的主要目标是通过应用神经网络、概率和统计来将高吞吐量和高性能计算的各个方面与知识发现方法结合起来，以支持和加强每个参与项目和核心B。核心C利用应用于Cobre项目的最新工具和技术，促进知识发现过程的多步性和数据密集性。 领导核心活动的三个目标： 目标1：服务：创建支持结构 目标2：研究和开发：补充现有现成和开放源码包的新技术和算法 目标3：教育：介绍和培训生物信息学领域现有技术方面的年轻和成熟的研究人员。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Infrastructure: CORE C: Bioinformatics in Viral Molecular Biology Marjan Trutschl, Director High-throughput technologies have established themselves as indispensable tools for the study of biological systems, from gene expression level changes, protein concentrations, to their modifications and interactions in complex diseases and systems  cells and complete organisms. Core C, focused on bioinformatics, is new for the COBRE project. The faculty of the Core has collaborated on several projects with COBRE-related faculty through the Microarray Facility at LSUHSC-S. The demand for the bioinformatics services grew with the number of microarrays processed. The Core assists with computational aspects of the COBRE projects, including all aspects of statistical and high-throughput analyses, such as experimental design, data standardization and normalization, pathway and other confirmatory analyses, data storage, sharing and management and integration of the project-related data into public databases. The main goal of this core is to incorporate aspects of high-throughput and high-performance computing with knowledge discovery approaches through the application of neural networks, probability and statistics to support and enhance each of the participating projects and Core B. Core C facilitates the multi-step, data-intensive nature of the knowledge discovery process, utilizing the latest tools and techniques as applied to the COBRE projects. Three aims lead the activities of the Core's activities: Aim 1: SERVICE: create a structure of support Aim 2: RESEARCH AND DEVELOPMENT: new techniques and algorithms that supplement currently available off-the shelf and open-source packages Aim 3: EDUCATION: introduce and train young and established investigators in the technologies available in the field of bioinformatics.