Computer cluster for computational biology

计算生物学计算机集群

• 批准号: 6877645
• 负责人: Ron Elber
• 金额: $ 50万
• 依托单位: CORNELL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-06-01 至 2006-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6877645
• 关键词: bioinformatics; biomedical equipment purchase; computational biology; computer network; computer program /software; computer system hardware; computers

DESCRIPTION (provided by applicant): The present application aims to establish a computer Cluster for Computational Biology and Bioinformatic (CCBB). The cluster will consists of 256 dual nodes connected with Giganet switches to enable rapid communication between the processors. The cluster will enable the integration of the two approaches and make it possible to effectively address the highly demanding computational tasks of the field. It will serve a small group of investigators, supported by the NIH, and their close collaborators. The hardware needs of computational biology and bioinformatic applications, and of the team of investigators listed in this application can be summarized as follows: 1. Significant computer power for complex and expensive simulations. 2. Large storage capacity for the whole cluster (shared) and (separately) for the individual nodes. 3. Large and rapidly accessible memory for effective statistical analysis, application of machine learning techniques, and biological discovery. 4. Fast network for information updates across the network. In addition CCBB will have high level of databases and software integration including 1. Updates of important "mirrors" of shared databases (such as NR, swissprot, human EST, human genome, protein databank, etc.) 2. Local installation and frequent upgrade of widely used software packages (e.g. BLAST, Pfam, CHARMm etc.) 3. Help in porting novel software for optimal use on the CCBB hardware platform. The combined unification of optimal hardware and software for computational biology and bioinformatic will make the new cluster; an outstanding resource for NIH related research

描述(由申请人提供)： 本申请旨在建立计算生物学和生物信息学计算机集群(CCBB)。该集群将由256个双节点组成，通过Giganet交换机连接，以实现处理器之间的快速通信。该专题组将能够整合这两种方法，并使其能够有效地处理外地要求极高的计算任务。它将为一小群调查人员提供服务，并得到美国国立卫生研究院的支持，以及他们的密切合作人员。计算生物学和生物信息学应用的硬件需求，以及本申请中列出的研究团队的硬件需求可以总结如下： 1.用于复杂且昂贵的模拟的强大的计算机能力。 2.整个集群(共享)和单个节点(单独)的大存储容量。 3.用于有效的统计分析、机器学习技术的应用和生物发现的大容量和快速访问的存储器。 4.快速网络，实现全网信息更新。 此外，CCBB将拥有高水平的数据库和软件集成，包括 1.更新共享数据库(如NR、swissprot、人类EST、人类基因组、蛋白质数据库等)的重要“镜像” 2.广泛使用的软件包(如BLAST、Pfam、CHARMm等)的本地安装和频繁升级 3.帮助移植新软件，以便在CCBB硬件平台上实现最佳使用。 计算生物学和生物信息学的最佳硬件和软件的联合统一将使新的集群成为NIH相关研究的杰出资源

项目成果

Factoring local sequence composition in motif significance analysis.

在基序重要性分析中考虑局部序列组成。

• 发表时间: 2008
• 期刊: Genome informatics. International Conference on Genome Informatics
• 作者: Ng,Patrick;Keich,Uri
• 通讯作者: Keich,Uri