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Division of Computational Bioscience Scientific Computing Facility

Division of Computational Bioscience Scientific Computing Facility
计算生物科学部科学计算设施
批准号:
8565615
负责人:
Benes L Trus
金额:
$49.58万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至

项目摘要

项目成果

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中文摘要
翻译
计算生物科学科学(DCB)计算设施与DCB工作人员及其NIH研究人员合作,构建并提供多样化但强大的科学计算系统。该系统提供了合作所需的基础设施,同时符合所有安全性,机密性和完整性要求,特别是与存储PII和其他敏感数据有关的要求。通过常见的平滑软件和硬件刷新,协作者可以不间断地工作。专家工作人员能够提供集中的支持和建议,使资源的最佳利用,以支持该司的校内研究计划。 该设施由低可用性设备室组成,其中包含各种科学计算硬件,约有200台连续运行的服务器,提供计算节点和数据存储。用于存储和处理敏感信息(如个人健康信息和赠款信息)的机器有单独的机架,并有适当的额外保护层。DCB还从信息技术中心(CIT)的计算机系统服务部门(DCSS)租用空间,用于高可用性生产系统,例如支持Salivary Proteome Wiki的系统。 跨所有计算系统的通用联合环境使DCB员工能够在协作的整个生命周期中快速构建所需的数据分析工具。通用文件系统、统一身份验证、系统管理和其他系统协调功能完全集成到包含各种支持软件的基础架构中。商品硬件、免费软件和商业软件被整合在一起,以提供高效和可持续的解决方案。 工作人员代表DCB执行科学计算系统日常操作所需的许多常见安全,维护,备份和报告任务。特别是,管理联邦授权的DCB计算设施的认证和认可过程,否则这对DCB开发人员和调查人员及其合作者来说将是一个重大负担。当一个合作项目结束时,工作人员与IC合作,将系统重新定位到IC或CIT数据中心内的空间。 许多著名的研究小组和科学领导人都报告说,缺乏熟练的专业计算专家来帮助在NIH运行类似的资源。实验室往往依赖于他们的临时工作人员中偶然发现的专业知识。由于NIH的项目需要大量的数据处理,该基金为DCB提供了必要的专业知识。 2012年,得到支持的合作包括: .人类唾液蛋白质目录,与NIDCR,支持唾液蛋白质组社区。 .分子库计划(MLP),NIH共同基金的一部分,以开发通用分析报告系统(汽车)。 .分子结构测定(NIDDK、NIDCR、NCI、NHLBI)。 .分子建模中心的MMIGNET计划支持NIH作为一个整体。 .微阵列数据库系统(mAdb)与NCI和NIAID。 .与NIA合作的遗传关联数据库存档了复杂疾病和病症的人类遗传关联研究。 .未诊断疾病计划门户网站(ORR,NHGRI,CC)使来自世界各地的专家能够帮助NIH诊断罕见疾病。 .投资组合分析和投资组合可视化资源支持整个NIH的许多团体,包括OD,NCI和NIGMS。 .与NHLBI合作设计并执行一个程序,该程序计算数十亿个SNP-基因表达关联测试,以寻找表达-单核苷酸多态性,eSNP。迄今为止的努力正在产生比以前的努力快20倍的速度。 .与NIDDK的一个联合项目,应用随机森林学习机,根据从帽分析基因表达(CAGE)数据获得的数据,识别和细化果蝇基因组中的转录起始位点。 .与NCI和NCI资助的财团的联合项目,实施分析管道并提供必要的生物信息学工具,用于转录组分析和下一代测序的RNA-seq/外显子捕获数据的生物解释。
英文摘要
The Division of Computational Bioscience Scientific (DCB) Computing Facility collaborates with DCB staff and their NIH investigators to build and provide a diverse but robust scientific computing system. This system provides the infrastructure needed by the collaborations at the same time as complying with all security, confidentiality and integrity requirements, especially those concerned with storing PII and other sensitive data. With common smooth software and hardware refreshes, collaborators are allowed to work uninterrupted. Expert staff are able to provide centralised support and advice to enable the best use of resources in support of the Division's Intramural Research Program. The Facility comprises of low availability equipment rooms containing a wide range of hardware for scientific computing with approximately 200 continuously running servers, which provide compute nodes and data storage. There are separate racks for machines used for storing and processing sensitive information, such as personal health information and grant information, with appropriate extra layers of protection. DCB also rents space from the Division of Computer System Services (DCSS) of the Center for Information Technology (CIT) for high availability production systems, such as those supporting the Salivary Proteome Wiki. A common and federated environment across all computational systems, enables DCB staff to quickly build the data analysis tools they need throughout the lifetime of a collaboration. Common file systems, unified authentication, system management, and other system coordinating features are fully integrated into an infrastructure containing the variety of supporting software. Commodity hardware, free software and commercial software are integrated to provide efficient and sustainable solutions. Staff perform the many common security, maintenance, backup and reporting tasks that are required for the day to day operation of scientific computational systems on behalf of DCB. In particular, managing the Federally mandated Certification and Accreditation process on DCB's Computational Facility that would otherwise be a significant burden to DCB developers and investigators as well as their collaborators. When an collaborative project is concluded, staff work with the ICs to relocate systems to space within the ICs or the CIT Data Center as appropriate. Many prominent investigators panels and science leaders have reported a lack of skilled professional computational experts to help with running similar resources across NIH. Laboratories tend to rely on the incidental expertise found among their, often temporary, staff. With the large amounts of data processing that is required for projects at NIH, the Facility provides the necessary expertise to DCB. In 2012, supported collaborations include: . The Human Salivary Protein Catalog, with NIDCR, supporting the Salivary Proteome community. . Molecular Libraries Program (MLP), part of the NIH Common Fund, to develop the Common Assay Reporting System (CARS). . Molecular Structure Determination (NIDDK, NIDCR, NCI, NHLBI). . The Center for Molecular Modeling's MMIGNET programme supporting NIH as a whole. . Microarray Database System (mAdb) with NCI and NIAID. . The Genetic Association Database archive of human genetic association studies of complex diseases and disorders, in collaboration with NIA. . Undiagnosed Diseases Program Portal (ORDR, NHGRI, CC) enabling experts from across the world help NIH to diagnose rare diseases. . Portfolio analysis and portfolio visualization resources supporting many groups throughout NIH, including OD, NCI and NIGMS. . A collaborative effort with NHLBI to design and execute a program which computes billions of SNP-gene expression association tests, in an effort to find expression - single nucleotide polymorphisms, eSNPs. Efforts so far are producing a 20-fold speed up over previous efforts. . A joint project with NIDDK to apply random forest learning machines to identify and refine transcription start sites in the fruit fly genome based on data obtained from cap analysis gene expression (CAGE) data. . A joint project, with NCI and a NCI-funded consortium, implementing an analysis pipeline and providing the necessary bioinformatics tools for transcriptome analysis and biological interpretation of RNA-seq/Exon capture data from next generation sequencing.
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