Biomedical Informatics Shared Resource

生物医学信息学共享资源：项目总结 生物医学信息学共享资源（BISR），由阿里斯弗洛拉托斯，博士指导，提供成员的 赫伯特欧文综合癌症中心（CMCC）的知识和专业知识， 专业人员和计算基础设施，支持基因组， 转录组学和大规模蛋白质组学数据。这种分析是复杂的，但对基本和 转化型癌症研究，这越来越需要使用由高分辨率计算机生成的多维数据。 吞吐量技术。通过BISR，CICC成员可以以具有成本效益的方式接触到经验丰富的员工 在癌症生物学，信息学和统计学方面具有很强的跨学科知识。密切配合 CSCCC成员，他们帮助回答研究问题，使用最先进的计算和统计 接近。提供的服务包括：（1）指导实验设计，以确保有足够的动力 下游分析;（2）提供实验室和翻译研究的完整分析部分; (3)协助开发论文和资助申请的生物信息学部分;（4）协助 向NIH数据库提交基因组数据;（5）提供使用 信息学方法除了使用基于社区的完善的计算管道外， 公认的最佳实践，BISR应用新的系统生物学方法来表征监管 介导癌症建立、维持和进展以及对治疗的反应的过程。 这些强大的方法已开发的系统生物学系内的教师和 已被用于与显着的成功，阐明调控和信号程序，发挥关键作用， 协调许多癌症表型的细胞状态转变。为了支持其业务，BISR维护 大量的生物医学信息学工具和数据库，除了利用世界一流的 哥伦比亚大学计算生物学和生物信息学中心的计算基础设施， 其中包括一个最大的学术计算机集群致力于生物研究。期间 在当前项目期间（2014-2019年），BISR被46个CPCC成员在所有CPCC研究中使用 计划并提供关键数据和见解，以支持17项同行评审的研究赠款和34项国家生物多样性委员会 成员出版物，包括在13种期刊上发表的作品，影响因子>10，其中10种期刊 影响因子>20（自然、癌细胞和细胞干细胞）。随着技术的发展和新的方法 分析出现，BISR致力于不断更新服务产品，以满足研究需求 通过采用新的数据分析方法、新的分析方法， 加强现有的分析方法。

BIOMEDICAL INFORMATICS SHARED RESOURCE: PROJECT SUMMARY The Biomedical Informatics Shared Resource (BISR), directed by Aris Floratos, PhD, provides members of the Herbert Irving Comprehensive Cancer Center (HICCC) with access to the knowledge and expertise of specialized personnel and a computational infrastructure that supports integrative analyses of genomic, transcriptomic, and large-scale proteomic data. Such analyses are complex but essential for basic and translational cancer research, which increasingly requires the use of multi-dimensional data generated by high throughput technologies. Through the BISR, HICCC members gain cost-effective access to experienced staff with strong cross-disciplinary knowledge in cancer biology, informatics, and statistics. Working closely with HICCC members, they to help answer research questions using state-of-the-art computational and statistical approaches. Services offered include: (1) guiding experimental design to ensure adequately powered downstream analyses; (2) providing the full analysis component of laboratory and translational investigations; (3) assisting in the development of the bioinformatic portions of papers and grant applications; (4) assisting in the submission of genomic data to NIH data repositories; and (5) providing education and training in the use of informatics methods. In addition to using well-established computational pipelines based on community- accepted best practices, the BISR applies novel systems biology methodologies to characterize regulatory processes that mediate cancer establishment, maintenance, and progression as well as response to treatment. These powerful methodologies have been developed by faculty within the Department of Systems Biology and have been used with remarkable success to elucidate regulatory and signaling programs that play key roles in coordinating cell-state transitions across many cancer phenotypes. To support its operations, the BISR maintains a large collection of biomedical informatics tools and databases in addition to utilizing the world-class computational infrastructure of Columbia University’s Center for Computational Biology and Bioinformatics, which includes one of the largest academic computer clusters dedicated to biological research. During the current project period (2014-2019), the BISR was utilized by 46 HICCC members across all HICCC Research Programs and provided key data and insights to support 17 peer-reviewed research grants and 34 HICCC member publications including work in 13 journals with an impact factor >10, of which 10 were in journals with an impact factor >20 (Nature, Cancer Cell, and Cell Stem Cell). As technologies evolve and new methods of analysis emerge, the BISR is committed to continuously updating service offerings to meet the research needs of HICCC members through adoption of new methodologies for data analysis, new analytical approaches, and enhancement of existing analytical methods.