LBRN: BIOINFORMATICS BIOCOMPUTING CORE

LBRN：生物信息学生物计算核心

• 批准号: 8168121
• 负责人: SHANTENU JHA
• 金额: $ 38.88万
• 依托单位: LOUISIANA STATE UNIV A&M COL BATON ROUGE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-15 至 2011-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8168121
• 关键词: Archives; Area; Arts; Behavioral; Bioinformatics; Biological; Biological Process; Biomedical Research; Code; Collaborations; Communication; Computer Retrieval of Information on Scientific Projects Database; Computer software; Computers; Data; Data Set; Development; Distance Learning; Educational Status; Educational workshop; Elements; Environment; Equipment; Faculty; Fostering; Funding; Genome; Genomics; Goals; Grant; Health; Home environment; Human; Imagery; Individual; Information Sciences; Institution; Knowledge; Louisiana; Medical; Mentors; Methodology; Methods; Persons; Phase; Pilot Projects; Postdoctoral Fellow; Proteins; Proteomics; Research; Research Infrastructure; Research Personnel; Research Project Grants; Research Training; Resources; Source; Speed; Structure; System; Technology; Training; United States National Institutes of Health; biocomputing; computerized tools; computing resources; data exchange; data mining; experience; eye center; graduate student; interdisciplinary collaboration; models and simulation; novel; programs; rapid growth; research and development; user-friendly

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. Rationale and Specific Aims: According to the NIH Biomedical Information Science and Technology Initiative Consortium (NIH-BISTI) "Bioinformatics is 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" (http://www.bisti.nih.gov). The rapid growth of biological information has necessitated the development and implementation of advanced biocomputing and bioinformatics resources and capabilities, which are currently deemed essential components for biomedical research. Typically, these resources are optimally used when an efficient user-friendly and shared networking system is in place. The elucidation of the human and other genomes has provided an immense amount of data that must be analyzed by computationally intensive methods launching the era of genomics. Similarly, understanding the proteins coded by individual genomes, their regulated expression, structure, function and interaction (proteomics), will require the development of new hardware and software beyond current capabilities. Some important areas that will greatly impact biomedical research are: advanced visualization; data mining; distributed and shared analysis and storage of large data sets; dynamic simulation and modeling of biological processes. The Bioinformatics/Biocomputing Core (BBC) focuses on providing the necessary networking capabilities to support biomedical research projects distributed throughout the state of Louisiana. It is envisioned that the initial BBC's efforts in biocomputing/bioinformatics will demonstrate competitive research in Louisiana, which will grow as the network expands and faculty are added. A primary goal of the BBC is to provide access to world-class computer resources and computing, and communication support for the entire INBRE. Of particular importance is providing a supportive environment for the specific research projects associated with this core, as well as projects in the MCBC. In addition, the BBC will develop and distribute new biocomputational capabilities to enable competitive research by all INBRE institutions. The BBC includes an initial cadre of pilot projects aimed at achieving this goal. It is anticipated that additional biocomputational projects will be developed during the INBRE as new faculty are hired and the network grows. The BBC will be built upon the existing resources of the Center for Computation and Technology (CCT, see description below) on the LSU campus, the LBRN Phase I resources, including those at the LSU Eye Center (LSUEC), and those being built under the auspices of LONI. The BBC will foster enhanced training of undergraduate and graduate students, as well as faculty, by initiating novel methods of delivering expertise across campus boundaries. This training and interaction will provide: networked courses; access to seminars and workshops; remote access to research equipment; person-to-person teleconferencing; other forms of distance learning, communication and collaboration. We consider these elements as absolutely essential to the enhancement of biomedical research since it promotes the development of state-wide mentoring at all educational levels. The specific aims of the BBC are: Specific Aim I: To support and further develop the existing Access-Grid and high speed networking infrastructure. The goal is to facilitate interactive knowledge and data exchange among INBRE investigators, further enhancing interdisciplinary collaboration. Specific Aim II: To support an initial cadre of investigators who will develop research projects that utilize advanced biocomputation methodologies. Specific Aim III: To provide communication and network support for the development of training and research programs at PUI campuses, including undergraduate, graduate, post-doctoral fellows, and faculty. The intended goal is to provide state-of-the-art resources, mentoring, and research experiences, beyond the boundaries of home departments and institutions.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目及 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 理由和具体目标： 根据 NIH 生物医学信息科学与技术倡议联盟 (NIH-BISTI) 的说法，“生物信息学是研究、开发或应用计算工具和方法，以扩大生物、医学、行为或健康数据的使用，包括获取、存储数据、组织、存档、分析或可视化此类数据”（http://www.bisti.nih.gov）。生物信息的快速增长需要开发和实施先进的生物计算和生物信息学资源和能力，这些资源和能力目前被认为是生物医学研究的重要组成部分。通常，当高效、用户友好且共享的网络系统到位时，这些资源就能得到最佳利用。人类和其他基因组的阐明提供了大量数据，必须通过启动基因组学时代的计算密集型方法来分析这些数据。同样，了解单个基因组编码的蛋白质及其调控的表达、结构、功能和相互作用（蛋白质组学）将需要开发超出当前能力的新硬件和软件。将对生物医学研究产生重大影响的一些重要领域是：高级可视化；数据挖掘；大数据集的分布式共享分析和存储；生物过程的动态模拟和建模。 生物信息学/生物计算核心 (BBC) 专注于提供必要的网络功能，以支持分布在路易斯安那州的生物医学研究项目。预计 BBC 最初在生物计算/生物信息学方面的努力将在路易斯安那州展示具有竞争力的研究，随着网络的扩展和教师的增加，该研究将不断发展。 BBC 的主要目标是为整个 INBRE 提供世界一流的计算机资源和计算以及通信支持。特别重要的是为与该核心相关的具体研究项目以及 MCBC 的项目提供支持环境。此外，BBC 将开发和分发新的生物计算能力，以使所有 INBRE 机构能够开展有竞争力的研究。 BBC 包括了旨在实现这一目标的首批试点项目骨干。预计随着新教师的聘用和网络的发展，INBRE 期间将开发更多的生物计算项目。 BBC 将建立在路易斯安那州立大学校园计算与技术中心（CCT，见下文描述）的现有资源、LBRN 一期资源的基础上，包括路易斯安那州立大学眼科中心 (LSUEC) 的资源以及正在建设的资源。洛尼的主持。 BBC 将通过启动跨校园提供专业知识的新方法来加强对本科生、研究生以及教师的培训。这种培训和互动将提供： 网络课程；参加研讨会和讲习班；远程访问研究设备；面对面的电话会议；其他形式的远程学习、交流和协作。我们认为这些要素对于加强生物医学研究绝对重要，因为它促进了全州各级教育指导的发展。 BBC 的具体目标是： 具体目标一：支持并进一步发展现有的接入网格和高速网络基础设施。目标是促进 INBRE 研究人员之间的互动知识和数据交换，进一步加强跨学科合作。 具体目标二：支持最初的研究人员骨干，他们将开发利用先进生物计算方法的研究项目。 具体目标 III：为 PUI 校园（包括本科生、研究生、博士后研究员和教师）的培训和研究项目的发展提供沟通和网络支持。预期目标是超越本部门和机构的界限，提供最先进的资源、指导和研究经验。