PRAABRE: BIOINFORMATICS CORE

Praabre：生物信息学核心

• 批准号: 8167839
• 负责人: ELENA M ORTIZ-ZUAZAGA
• 金额: $ 43.32万
• 依托单位: UNIVERSITY OF PUERTO RICO
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8167839
• 关键词: Algorithms; Area; Automation; Bioinformatics; Biological; Biological Sciences; Biometry; Biotechnology; Commit; Communication; Communities; Community Health Education; Complement; Computer Retrieval of Information on Scientific Projects Database; Computer software; Computers; Core Facility; Data; Databases; Development; Engineering; Funding; Genomics; Grant; High Performance Computing; Imagery; Institution; Investigation; Laboratory Research; Medical; Mental Health; Molecular Biology; Neurobiology; Phylogeny; Process; Puerto Rico; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Science; Sequence Analysis; Services; Source; Technology; Training; United States National Institutes of Health; Universities; computer technology development; computing resources; interest; member; programs; protein structure; protein structure prediction; tool

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. In the last few years, there has been a significant renewal in interest by the University of Puerto Rico, the Resource Center for Science and Engineering (RCSE) and Puerto Rico-EPSCoR in expanding High Performance Computing and Communications resources available to the UPR community. Direct consequences of this interest were the creation, in October of 1997, of the High Performance Computing facility (HPCf) of the UPR, as well as the development of the Internet2 project for Puerto Rico. Since its creation, the High Performance Computing facility has been active in developing a technology infrastructure with support services to the research and education community of the University as a whole. With the present proposal, we commit ourselves to expand the High Performance Computing facility of the University of Puerto Rico with the intent of creating the Bioinformatics Research Center. This shared core facility would contain high-end hardware, software and services essential to all researchers and educators in molecular biology at the institutions identified in the present proposal, with specific tools to support the members of the three research clusters : Neurobiology, Mental Health and Medical Biotechnology. Although the use of computers in the biological sciences has occurred for many decades, bioinformatics is a fairly new scientific field, made possible by the convergence of data-intensive biological and medical sciences research, laboratory-automation technologies, and the development of computer databases and algorithms that can rapidly organize, process, and distribute enormous quantities of data. The areas we consider as essential to be developed and supported at the Bioinformatics Resource Center are: 1- genomic databases 2- sequence analysis software 3- phylogeny software 4- protein structure visualization 5- protein structure prediction 6- bioinformatics programming 7- microarray data visualization and analysis 8- biostatistics 9- research support services & training These areas will be described with respect to the establishment of the core, detailing presently available resources as well as those resources to be obtained through the present proposal. We will then briefly describe each cluster along with their proposed use of the bioinformatics core, consequently presenting a list of infrastructure requirements, which will be compared to what is already available at the High Performance Computing facility, followed by what computing resources we suggest we should complement the Bioinformatics Resource Center. Suggested areas of investigations will be also explored in a subsequent sections, demonstrating the scope and diversity of the intended activities.

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。 在过去几年中，波多黎各大学、科学与工程资源中心 (RCSE) 和波多黎各 EPSCoR 对扩展 UPR 社区可用的高性能计算和通信资源表现出极大的兴趣。这种兴趣的直接后果是 1997 年 10 月创建了 UPR 的高性能计算设施 (HPCf)，以及为波多黎各开发了 Internet2 项目。自创建以来，高性能计算设施一直积极开发技术基础设施，为整个大学的研究和教育界提供支持服务。 根据目前的提案，我们致力于扩大波多黎各大学的高性能计算设施，旨在创建生物信息学研究中心。该共享核心设施将包含对本提案中确定的机构中所有分子生物学研究人员和教育工作者至关重要的高端硬件、软件和服务，并提供支持三个研究集群成员的特定工具：神经生物学、心理健康和医学生物技术。 尽管计算机在生物科学中的应用已经有几十年了，但生物信息学是一个相当新的科学领域，它是通过数据密集型生物和医学科学研究、实验室自动化技术以及计算机数据库和数据的发展的融合而成为可能的。可以快速组织、处理和分发大量数据的算法。我们认为生物信息学资源中心必须开发和支持的领域是： 1-基因组数据库 2-序列分析软件 3-系统发育软件 4-蛋白质结构可视化 5-蛋白质结构预测 6-生物信息学编程 7- 微阵列数据可视化和分析 8-生物统计学 9- 研究支持服务和培训 这些领域将根据核心的建立进行描述，详细说明目前可用的资源以及通过本提案将获得的资源。 然后，我们将简要描述每个集群以及它们对生物信息学核心的拟议用途，从而提出基础设施要求列表，将其与高性能计算设施中已有的设施进行比较，然后是我们建议我们应该使用哪些计算资源补充生物信息学资源中心。后续章节还将探讨建议的调查领域，展示预期活动的范围和多样性。