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中文摘要
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计算、生物信息学和统计能力是癌症研究的重要工具,反映了 广泛依赖全基因组方法和使用新方法,从成像到高通量 从筛选到下一代测序,再到蛋白质组学, 集.生物信息学和计算核心(BCC)是一个共享资源,既提供计算 基础设施和专家生物信息学和生物统计学支持。BCC是由一个杰出的 为研究项目提供先进的生物信息学和统计分析的科学家团队 和/或提供这些方法的专家培训。此外,它还提供了对一系列高性能 性能计算、数据存储服务器和软件资源,以及定制编程和 数据库开发,以支持中心成员的研究计划,也是数据密集型 其他Koch Institute核心的应用。在本报告所述期间,科赫研究所BCC与 麻省理工学院其他三个小组的生物信息学努力,以创建一个共享的机构BCC。此外,重要的 投资用于更新和扩展高性能计算和数据存储 利用MIT的资金。这导致能力和工作人员多样性的显著扩展 专业知识,包括增加内部生物统计分析。它还创造了巨大的经济效益, 规模因此,第44年所要求的CCSG预算比所要求的少15%, 第39年预算。重要的是,中心会员使用BCC的比例从37%增加到 本期59%。此外,中心成员占生物信息学使用的74%, 共享BCC,即使要求CCSG对此核心的支持仅占总利益相关者的52% 捐款.
英文摘要
Computational, bioinformatics and statistical capabilities are essential tools in cancer research, reflecting the widespread reliance on genome-wide approaches and the use of new methodologies, from imaging to highthroughput screening to next generation sequencing to proteomics, that generate increasingly complex data sets. The Bioinformatics & Computing Core (BCC) is a Shared Resource that provides both the computational infrastructure and expert bioinformatics and biostatistical support. The BCC is comprised of an outstanding team of staff scientists who contribute sophisticated bioinformatics and statistical analyses to research projects and/or provide expert training in these methods. Additionally, it provides access to an array of high performance computing, data storage server and software resources, as well as custom programming and database development to support the research programs of Center Members and also data intensive applications of other Koch Institute Cores. During the current period, the Koch Institute BCC was merged with the Bioinformatics efforts of three other MIT groups to create a shared Institutional BCC. Moreover, significant investments were made to update and expand both the high performance computing and data storage capabilities using MIT funds. This resulted in a significant expansion in capabilities and the diversity of staff expertise, including the addition of in-house biostatistical analyses. It also created significant economies of scale. Consequently the requested CCSG budget for Year 44 is 15% less than the requested and recommended budget in Year 39. Importantly, usage of the BCC by Center Members increased from 37% to 59% during the current period. Moreover, Center members account for 74% of the bioinformatics usage of the shared BCC even though the requested CCSG support for this Core is only 52% of the total stakeholder contributions.
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