LBRN: BIOINFORMATICS BIOCOMPUTING CORE
LBRN: BIOINFORMATICS BIOCOMPUTING CORE
批准号:
7719993
负责人:
EDWARD R SEIDEL
金额:
$15.51万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-05-01 至 2009-04-30
关键词:
ArchivesAreaArtsBehavioralBioinformaticsBiologicalBiological ProcessBiomedical ResearchClassCodeCollaborationsCommunicationComputer Retrieval of Information on Scientific Projects DatabaseComputer softwareComputersDataData SetDevelopmentDistance LearningEducational StatusEducational workshopElementsEnvironmentEquipmentFacultyFosteringFundingGenomeGenomicsGoalsGrantHealthHome environmentHumanImageryIndividualInformation SciencesInstitutionKnowledgeLouisianaMedicalMentorsMethodologyMethodsPersonsPhasePilot ProjectsPostdoctoral FellowProteinsProteomicsResearchResearch InfrastructureResearch PersonnelResearch Project GrantsResearch TrainingResourcesSourceSpeedStructureStudentsSystemTechnologyTrainingUnited States National Institutes of Healthbiocomputingcomputerized toolscomputing resourcesdata miningexperienceeye centerinterdisciplinary collaborationmodels and simulationnovelprogramsrapid growthresearch and developmentuser-friendly
中文摘要
这个子项目是许多研究子项目中利用
资源由NIH/NCRR资助的中心拨款提供。子项目和
调查员(PI)可能从NIH的另一个来源获得了主要资金,
并因此可以在其他清晰的条目中表示。列出的机构是
该中心不一定是调查人员的机构。
理论基础和具体目标:
根据美国国立卫生研究院生物医学信息科学和技术倡议联盟(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、组织、归档、分析或可视化此类数据的工具和方法(http://www.bisti.nih.gov).生物信息的快速增长要求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基本组成部分。通常,当高效、用户友好和共享的网络系统就位时,这些资源得到最佳利用。人类和其他基因组的阐明提供了大量数据,这些数据必须通过计算密集的方法进行分析,从而开启了基因组学时代。同样,要了解由单个基因组编码的蛋白质及其受调控的表达、结构、功能和相互作用(蛋白质组学),将需要在现有能力之外开发新的硬件和软件。将对生物医学研究产生重大影响的一些重要领域包括:高级可视化;数据挖掘;大型数据集的分布式和共享分析和存储;生物过程的动态模拟和建模。
生物信息学/生物计算核心(BBC)专注于提供必要的联网能力,以支持分布在路易斯安那州各地的生物医学研究项目。据设想,BBC最初在生物计算/生物信息学方面的努力将证明路易斯安那州的研究具有竞争力,这些研究将随着网络的扩大和教师的增加而增长。BBC的一个主要目标是为整个INBRE提供世界级的计算机资源和计算以及通信支持。尤其重要的是为与这一核心相关的具体研究项目以及MCBC中的项目提供一个支持性环境。此外,BBC将开发和分发新的生物计算能力,以使所有INBRE机构能够进行竞争性研究。英国广播公司包括一批旨在实现这一目标的初步试点项目。预计在INBRE期间,随着新教师的招聘和网络的扩大,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区计算与技术中心(CCT,见下文描述)的现有资源、LBRN第一阶段资源,包括路易斯安那州立大学眼科中心(LSUEC)的资源以及由LONI赞助的资源的基础上。BBC将通过发起跨越校园边界提供专业知识的新方法,促进加强对本科生和研究生以及教职员工的培训。这种培训和互动将提供:联网课程;参加研讨会和讲习班;远程访问研究设备;个人对个人的电话会议;其他形式的远程学习、交流和协作。我们认为这些因素对于加强生物医学研究是绝对必要的,因为它促进了全州各级教育指导的发展。英国广播公司的具体目标是:
具体目标一:支持和进一步发展现有的接入网格和高速网络基础设施。其目标是促进INBRE研究人员之间的互动知识和数据交流,进一步加强跨学科合作。
具体目标二:支持将开发利用先进生物计算方法的研究项目的第一批研究人员。
具体目标三:为大学本科生、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通信和网络支持。计划的目标是提供最先进的资源、指导和研究经验,超越家庭部门和机构的界限。
英文摘要
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.
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