Genomics

基因组共享资源（GSR）是一个最先进的基因组学设施，致力于以低成本提供最新的基因组研究工具。GSR的主要目标是通过提供基于遗传和基因组的工具，促进斯坦福癌症研究所（SCI）成员的高影响力癌症研究。这一目标是通过为SCI会员提供无障碍的、全面的、具有成本效益的尖端基因组学技术，以及利用这些技术进一步开展癌症研究所需的所有必要服务、专业知识和科学支持来实现的。GSR的主要技术和服务包括：高通量测序、微阵列分析、实时定量PCR和多重单分子分析。在整个实验过程中，还提供使用每种技术的专家指导，包括实验设计、数据分析、数据存档和发布的指导。斯坦福功能基因组学设施（SFGF）、蛋白质和核酸设施（PAN）、基因组测序服务中心（GSSC）和遗传生物信息学服务中心（GBSC）的资源在GSR主任John Coller博士的领导下合并，提供全方位的服务，总运营预算为430万美元。Michael Eckart博士（PAN）是GSR的共同负责人。阿伦德·西多博士是指导教师。自2009年以来，已有超过130名SCI成员使用了共享资源，代表了所有项目的附属机构。未来的计划包括增加一名全职生物信息学家，扩大癌症特定生物信息学支持，升级高通量测序仪器，并继续扩大样品和文库制备服务。

The Genomics Shared Resource (GSR) is a state-of-the-art genomics facility dedicated to providing the latest genomic research tools at low cost. The primary goal of GSR is to facilitate high-impact cancer research by Stanford Cancer Institute (SCI) members by providing genetic and genomic-based tools. This goal is accomplished by providing SCI members with unencumbered, comprehensive and cost-effective access to cutting-edge genomics technologies and all the necessary services, expertise and scientific support necessary to utilize these technologies to further cancer research. Major GSR technologies and services include: high-throughput sequencing, microarray-based analysis, real-time quantitative PCR, and multiplex single-molecule analysis. Expert guidance with the use of each technology is also provided throughout the entire experimental process, including guidance with experimental design, data analysis, data archiving and publication. The resources of the Stanford Functional Genomics Facility (SFGF), Protein and Nucleic Acid Facility (PAN), the Genome Sequencing Service Center (GSSC) and Genetics Bioinformatics Service Center (GBSC) have combined under the leadership of John Coller, PhD, as Director of the GSR, to provide the full spectrum of services with a total combined operating budget of $4.3M. Michael Eckart, PhD (PAN) co-directs the GSR. Arend Sidow, PhD, is the faculty advisor. Since 2009 over 130 SCI members have used the shared resource, representing all program affiliations. Future plans include expanding cancer specific bioinformatics support with the addition of one full time bioinformatician, upgrading high-throughput sequencing instrumentation, and continuing to expand sample and library preparation services.