ABI Development: National Center for Genome Analysis Support

智力优势：该奖项授予印第安纳州大学（IU）是为了与德克萨斯州高级计算中心（TACC）合作建立国家基因组分析支持中心（NCGAS）。NCGAS将是一个创新的服务中心（核心设施），支持国家科学基金会资助的研究人员使用基因组组装软件，特别是适用于下一代测序仪数据组装的软件;大规模系统发育软件;和其他需要大量内存的基因组分析软件。该中心将是软件支持和服务的一般来源，将在IU的Mason大内存计算机集群、TACC Gordon系统和圣地亚哥超级计算机中心Dash系统上提供。NCGAS将提供服务，例如使用基于聚类的基因组分析软件，存储提交的数据集，以及开放源代码基因组分析软件库。服务将特别支持分析下一代测序仪输出的从头组装，宏基因组项目，和resequencing.Broader影响：NCGAS将开发创新的解决方案，以满足当前的基因组组装和分析的需求。它将建立一个专家和软件工具的核心，以支持对各种国家资助的网络基础设施系统的研究，并将在现有系统套件中增加一个适合这项工作的大型内存集群。通过开发一个由调查人员和技术人员组成的社区，并探索提供计算资源的新模式，如“按需”计算，该项目希望成为一个可持续的模式，以满足持续增长的序列分析需求。国家性别问题咨询小组网站提供最新信息，网址为http://pti.iu.edu/ncgas/。

Intellectual Merit: This award to Indiana University (IU) is to establish the National Center for Genome Analysis Support (NCGAS) in partnership with the Texas Advanced Computing Center (TACC). The NCGAS will be an innovative service center (core facility) that supports the national community of NSF-funded researchers who use genome assembly software, particularly software suitable for assembly of data from next-generation sequencers; large-scale phylogenetic software; and other genome analysis software requiring large amounts of memory. This center will be a general source of software support and services that will be provided on the Mason large memory computer cluster at IU, on the TACC Gordon system, and on the San Diego Supercomputer Center Dash system. The NCGAS will provide services such as use of cluster-based genome analysis software, storage of submitted data sets, and a repository of open source genome analysis software. Services will particularly support analyses of next-generation sequencer output for de novo assembly, metagenomic projects, and resequencing.Broader Impacts: The NCGAS will develop innovative solutions to current needs in genome assembly and analysis. It will establish a core of experts and software tools to support research on a variety of nationally funded cyberinfrastructure systems, and will add to the suite of available systems a large memory cluster ideal for this work. By developing a community of investigators and technologists and exploring new modalities of provisioning computational resources, such as "on demand" computing, this project aspires to become a sustainable model for the ongoing, and increasing, need for sequence analysis. The NCGAS website provides up-to-date information at http://pti.iu.edu/ncgas/.