LSUHSC COBRE: BIOINFORMATICS IN VIRAL MOLECULAR BIOLOGY

这个子项目是许多利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 基础设施：核心C：病毒分子生物学中的生物信息学 马里安·特鲁特希尔 高通量技术已成为研究生物系统不可或缺的工具，从基因表达水平变化，蛋白质浓度，到它们在复杂疾病和系统中的修饰和相互作用  细胞和完整的有机体。核心C，专注于生物信息学，是COBRE项目的新成员。核心的教师通过LSUHSC-S的微阵列设施与COBRE-related教师合作了几个项目。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加。 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、数据标准化和规范化、途径和其他验证性分析、数据存储、共享和管理以及将项目相关数据纳入公共数据库。该核心的主要目标是通过应用神经网络、概率和统计将高吞吐量和高性能计算与知识发现方法结合起来，以支持和增强每个参与项目和核心B。核心C促进了知识发现过程的多步骤，数据密集型性质，利用应用于COBRE项目的最新工具和技术。 核心委员会的活动以三个目标为主导： 目标1：服务：建立支持结构 目标2：研究和开发：新技术和算法，补充目前可用的现成和开源软件包 目标3：教育：介绍和培训年轻和成熟的研究人员掌握生物信息学领域的现有技术。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Infrastructure: CORE C: Bioinformatics in Viral Molecular Biology Marjan Trutschl 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.