Biostatistics and Bioinformatics

生物统计和生物信息学核心设施为所有G1癌症孢子研究人员提供统计和计算支持。该核心将支持就研究的所有方面进行协商和合作 设计、数据库开发和质量控制，以及数据分析和解释。 参与生物统计和生物信息学核心的统计学家和生物信息学科学家 被选中是因为他们在临床试验、实验室实验、 遗传学和基因组学研究，计算生物学和流行病学研究。黛安·芬克尔斯坦博士 和郑辉博士作为综合性癌症中心的统计员具有丰富的经验 合作肿瘤学小组设置。约翰·奎肯布什博士是癌症计算中心的负责人 在Dana-Farber癌症研究所(DFCI)工作，并在基因组学和 计算生物学。芭芭拉·韦尔博士和尼古拉斯·斯特兰斯基是计算生物学家，他们对 在开发和部署分析和整合基因组数据集的方法方面具有专业知识。 这些人共同隶属于麻省总医院(MGH)、DFCI、哈佛大学 哈佛大学医学院(HMS)、哈佛大学公共卫生学院(HSPH)以及哈佛大学和麻省理工学院博德研究所。 然而，他们的孢子合作将基于专业知识和需求的领域，并将涉及 来自几个附属机构的调查人员。生物统计学和生物信息学核心成员 定期参加规划会议，在这些会议上，科学目标和研究方法 对孢子项目进行了讨论。这一核心设施的具体目标是：1：提供随时访问 统计和生物信息学专业知识以及G1癌症孢子计划的计算咨询；2： 为实验室的规划、分析和报告提供生物统计/生物信息学专业知识 实验、流行病学研究和临床试验；3：为孢子调查员及其 数据收集员(技术人员、护士、数据经理等)在数据表单设计、数据收集、 记录摘要、计算机化、数据库设计和管理以及数据质量控制；4： 为综合计算模型的开发提供支持，以促进分析和 解释复杂的基因组数据集；5：提供满足以下要求所需的科学计算专业知识 Gl癌孢子调查人员的数据管理和分析需求。

The Biostatistics and Bioinformatics Core facility provides the statistical and computational support for all Gl cancer SPORE investigators. The Core will support consultation and collaboration on all aspects of study design, database development and quality control, and analysis and interpretation of data. The statisticians and bioinformatics scientists participating in the Biostatistics and Bioinformatics Core have been chosen for their broad range of expertise and experience in clinical trials, laboratory experiments, genetics and genomics research, computational biology and epidemiology studies. Dr. Dianne Finkelstein and Dr. Hui Zheng have extensive experience as statisticians within the comprehensive cancer center and cooperative oncology group settings. Dr. John Quackenbush directs the Centerfor Cancer Computational Biology at the Dana-Farber Cancer Institute (DFCI) and has extensive experience in genomics and computational biology. Dr. Barbara Weir and Nicholas Stransky are computational biologists who have deep expertise in the development and deployment of methods to analyze and integrate genomic datasets. Collectively these individuals have affiliations at Massachusetts General Hospital (MGH), DFCI, Harvard Medical School (HMS), Harvard School of Public Health (HSPH) and the Broad Institute of Harvard and MIT. However, their SPORE collaborations will be based on areas of expertise and need and will involve investigators from several of the affiliate institutions. The Biostatistics and Bioinformatics Core members have participated regularly in the planning meetings where the scientific goals and research methods of the SPORE projects were discussed. The specific aims of this core facility are to; 1: Provide ready access to statistical and bioinformatics expertise and computing consultation to the Gl cancer SPORE program; 2: Provide biostatistical/bioinformatics expertise forthe planning, analysis and reporting of laboratory experiments, epidemiology studies and clinical trials; 3: Advise and support SPORE investigators and their data collectors (technicians, nurses, data managers, etc.) in the areas of data form design, data collection, record abstraction, computerization, database designing and management, and data quality control; 4: Provide support for the development of integrative computational models to facilitate the analysis and interpretation of complex genomic datasets; 5: Provide the scientific computing expertise required to meet the data management and analytical needs of Gl cancer SPORE investigators.