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Aris Floratos博士指导，为 赫伯特·欧文综合癌症中心(HICCC)，可获得 专业人员和支持基因组综合分析的计算基础设施， 转录和大规模蛋白质组学数据。这样的分析是复杂的，但对于基本和 转化型癌症研究，这越来越需要使用由HIGH生成的多维数据 吞吐量技术。通过BISR，HICCC成员可以经济高效地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有很强的跨学科知识。与以下公司密切合作 HICCC成员，他们帮助回答研究问题，使用最先进的计算和统计 接近了。提供的服务包括：(1)指导实验设计，确保有足够的动力 下游分析；(2)提供实验室和翻译调查的全部分析部分； (3)协助开发论文和资助申请的生物信息学部分；(4)协助 向美国国立卫生研究院数据库提交基因组数据；以及(5)提供有关使用 信息学方法。除了使用基于社区的完善的计算管道- 作为公认的最佳实践，BISR应用了新的系统生物学方法来表征监管 调节癌症的建立、维持和发展以及对治疗反应的过程。 这些强大的方法是由系统生物学和系统生物学系的教师开发的 已经成功地用于阐明调控和信号程序在 协调多种癌症表型的细胞状态转换。为了支持其运营，BISR维护 一大批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， 其中包括致力于生物研究的最大的学术计算机集群之一。在.期间 在当前项目期间(2014-2019年)，HICCC所有研究部门的46名成员利用了BISR 并提供了关键数据和见解，以支持17项同行评审的研究拨款和34项HICCC 成员出版物包括在影响因子为10的13种期刊上发表的工作，其中10种期刊的影响因子为 影响因子&gt；20(自然、癌细胞和细胞干细胞)。随着技术的发展和新的方法 分析出现后，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、新的分析方法和 改进现有的分析方法。

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.