Experimental and Computational Genomics

实验和计算基因组学

• 批准号: 10650437
• 负责人: Srinivasan Yegnasubramanian
• 金额: $ 66.73万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-05-07 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10650437
• 关键词: Acceleration; Address; Adopted; Agreement; Applications Grants; Area; Basic Science; Bioinformatics; Biometry; Clinical; Common Good; Comprehensive Cancer Center; Computational Biology; Computing Methodologies; Consultations; Curiosities; Custom; DNA Sequence Alteration; Data; Data Analyses; Data Collection; Data Set; Development; Doctor of Medicine; Doctor of Philosophy; Education; Educational Activities; Educational workshop; Experimental Designs; Faculty; Generations; Genomics; Genomics Shared Resource; Goals; Grant; Growth; Hour; Human Resources; International; Interruption; Laboratories; Learning; Malignant Neoplasms; Mediation; Metagenomics; Methodology; Methods; Micro Array Data; Microarray Analysis; Mission; Modeling; Molecular Biology; Oncology; Patient Care; Price; Principal Investigator; Provider; Publications; Recording of previous events; Reporting; Research; Research Personnel; Resource Sharing; Resources; Services; Shapes; Side; Speed; Structure; Technology; Translational Research; Tumor Biology; analysis pipeline; analytical tool; archived data; cancer genome; cancer genomics; computing resources; coping; cost; data integration; data management; design; discount; education resources; empowerment; epigenome; epigenomics; experimental study; genomic data; improved; insight; instrumentation; meetings; member; multidisciplinary; next generation; next generation sequencing; operation; programs; recruit; single cell sequencing; skills; success; symposium; timeline; tool; transcriptomics

PROJECT SUMMARY/ABSTRACT The Experimental and Computational Genomics (ECGC) Shared Resource (SR) integrates all of the cancer genomics services in the Sidney Kimmel Comprehensive Cancer Center (SKCCC). The primary mission of the SR is to allow SKCCC investigators to harness the ongoing revolution in cancer genomics to accelerate their basic discoveries and translational research. The ECGC SR streamlined services that were previously offered through three separate SRs: Array, Next-Generation Sequencing and Bioinformatics. The current structure formalizes a long-standing commitment to integrate computing resources, hiring and educational activities for the common good of the SKCCC. The SR streamlined access to ECGC technologies and expertise, and enhanced opportunities for didactic and hands-on education in the experimental and computational aspects of cancer genomics. The immense laboratory and analytical expertise brought together in the newly integrated cross-disciplinary SR is now available to all SKCCC investigators. The full suite of services provided by this SR are not available elsewhere. The ECGC SR has developed a three-tiered approach to streamline effective project delivery. This SR is led by faculty directors Leslie Cope, Ph.D.; Sarah Wheelan, M.D., Ph.D.; and Srinavasan Yegnasubramanian, M.D., Ph.D., who bring together multidisciplinary expertise in genomics technologies, computational biology and biostatistics/bioinformatics. Project management and day-to-day operations are overseen by Kornel Schuebel, Ph.D., on the lab side and by Yan Zhang, Ph.D., a new recruit, on the computational side, who supervise all staff members. The ECGC SR provides access to and education in state-of-the-art, next-generation sequencing, microarray technologies and analytical workflows for probing genomic alterations, cancer epigenomics, transcriptomics and metagenomics. For each project, the SR uses a multidisciplinary clinical model to establish and execute an experimental and analytical plan, first meeting with each investigator and then helping them through all aspects of their genomics experiments, including experimental design, high-throughput microarray or next-generation sequencing workflows, and computational/bioinformatics data analysis. Additionally, the SR provides extensive educational resources, including short courses, workshops and symposia, so that investigators can gain the skills they need to fully understand and utilize the data and analyses generated. The success of the ECGC SR is evidenced by the high level of usage across all Programs and the cited support in a large number of impactful publications, national/international conference abstracts and successful grant applications. SKCCC Managed Shared Resource Reporting Period: January 1, 2020 to December 31, 2020

项目摘要/摘要 实验和计算基因组学(ECGC)共享资源(SR)集成了所有 Sidney Kimmel综合癌症中心(SKCCC)的癌症基因组学服务。初级阶段 SR的使命是使SKCCC的研究人员能够利用正在进行的癌症基因组学革命来 加速他们的基本发现和翻译研究。ECGC SR简化了以下服务 以前通过三个独立的SR提供：阵列、下一代测序和生物信息学。这个 目前的结构正式确定了长期致力于整合计算资源、招聘和 为共同利益而开展的教育活动。SR简化了对ECGC技术的访问 和专业知识，并增加了在实验和实践中进行授课和实践教育的机会 癌症基因组学的计算方面。巨大的实验室和分析专业知识汇聚在一起 在新整合的跨学科SR中，现在所有SKCCC调查人员都可以使用。全套的 此SR提供的服务在其他地方不可用。ECGC SR已开发出三层 简化有效项目交付的方法。这项SR由教职部主任Leslie Cope博士领导；Sarah Wheelan，M.D.，Ph.D.和Srinavasan Yegnasubramanian，M.D.，Ph.D. 在基因组学技术、计算生物学和生物统计学/生物信息学方面的专业知识。项目 实验室方面的管理和日常运营由Kornel Schuebel博士和严明监督 张博士是一名新员工，负责计算机方面的工作，负责监督所有员工。ECGC SR 提供最先进的下一代测序、微阵列技术和 用于探测基因组改变、癌症表观基因组学、转录组学和元基因组学的分析工作流程。 对于每个项目，SR使用多学科临床模型来建立和执行实验和 分析计划，首先与每个研究人员会面，然后帮助他们完成基因组学的所有方面 实验，包括实验设计、高通量微阵列或下一代测序 工作流程和计算/生物信息学数据分析。此外，SR还提供广泛的教育 资源，包括短期课程、讲习班和座谈会，以便调查人员能够获得他们所需要的技能 需要充分理解和利用所产生的数据和分析。ECGC SR的成功之处在于 所有计划的高使用率和在大量有影响力的 出版物、国家/国际会议摘要和成功的赠款申请。 SKCCC托管共享资源 报告期：2020年1月1日至2020年12月31日