Administration, Bioinformatics and Biostatistics Core

在这个程序项目“系统生物化学在肺癌：走向机械的理解， NSCLC”我们的目标是更好地了解肺癌的基本生物化学， 这是基于机制的疾病可靠早期检测的先决条件，也是改善 治疗行政、生物信息学和生物统计学核心的作用是提供全面的 管理和监督项目主任和核心领导人（T。W-M范博士，项目1; J. Yan， 医学博士，哲学博士、项目2; A. N.莱恩博士，项目3; R. M，Higashi，Ph.D.，核心B，分析） 计划项目。此外，生物统计学和信息学的支持（领导人S。N. Rai博士和H. N. B 莫斯利博士）这些项目将通过该核心提供。为了确保 行政核心将负责维持预算和费用报告， 协调年度报告，项目人员之间的定期会议， 内部和外部咨询委员会。生物信息学/生物统计学的主要目标 该核心的一部分是为进行翻译研究和信息学的研究人员提供支持 用于生化途径重建和通量建模。核心服务与以下需求相匹配： 每个项目，并涵盖从协作和日常服务的全方位服务;协议准备 发展信息学方法以确保互操作性;生物化学网络 分析.

In this Program Project "Systems Biochemistry in Lung Cancer: toward a mechanistic understanding of NSCLC" we aim to achieve a better understanding of the basic biochemistry of lung cancers as a prerequisite to mechanism-based reliable early detection of the disease, and to improved approaches to treatment. The role of the Administrative, Bioinformatics and Biostatistics Core is to provide overall administration and oversight to the project directors and core leaders (T. W-M. Fan, Ph.D., Project 1; J. Yan, M.D., Ph.D., Project 2; A. N. Lane, Ph.D., Project 3; R. M, Higashi, Ph.D., Core B, Analytical) on this Program Project. In addition, Biostatistics and Informatics support (leaders S. N. Rai, Ph.D. and H. N. B Moseley, Ph.D.) for the Projects will be provided through this Core. To ensure smooth interoperability of the program, the administrative core will be responsible for maintaining the budgets and cost reporting of the projects and cores as well as coordinating annual reports, regular meetings among the project personnel and the internal and external advisory committees. The primary objective of the Bioinformatics / Biostatistics portion of this core is to provide support for investigators performing translational research and Informatics for biochemical pathway reconstruction and flux modeling. The core services are matched to the needs of each project and cover a full range of services from collaboration and routine service; protocol preparation and review; development of informatics approaches to ensure interoperability; and biochemical network analysis.