Biostatistics, Informatics and Bioinformatics Core

肺癌孢子生物统计、信息学和生物信息学(BIB)核心为孢子研究人员提供生物统计学、临床信息学和生物信息学领域的支持。核心由长期和新的孢子合作者组成，他们在研究设计、数据管理、数据分析、临床信息学系统创建以及生物信息学数据管理和解释方面提供专业知识。生物统计学小组主要协助研究和方案设计、数据分析和解释，以及审查提交给组织使用委员会的请求。信息学小组协助数据质量控制、数据共享、设计和维护孢子数据库，该数据库将临床、病理和实验室数据捕获到关系数据库中。生物信息学小组协助对大型数据库进行计算评估，特别是那些使用基因表达和SNP阵列和蛋白质组图谱进行基因组和蛋白质组分析创建的数据库。所有核心成员都参与准备报告、演示文稿和手稿。BIB核心成员将在以下领域与孢子调查人员合作： 1.实验设计：设计临床前和临床实验，为肺癌的重要科学问题提供有用的答案。 2.数据收集/储存/检索/共享：为支持孢子试验和组织银行的数据收集、储存、质量保证、检索和共享，建立和维护一个完善和方便用户的基础设施。 3.数据分析和手稿准备：组织数据分析，为问题提供明确的答案，并在报告和论文中传达这些结论。 4.翻译研究方法。开发和实施连贯的方法，以提高从临床前研究到临床研究的各种研究的效率和效果，包括更好地了解肺癌的原因、肺癌的早期发现、肺癌风险的生物标记物和肺癌治疗方面的工作。 除这些活动外，核心成员将继续努力开发新的方法，以提高翻译研究过程的效率和成果。

The Lung Cancer SPORE Biostatistics, Informatics and Bioinformatics (BIB) Core provides support in the areas of biostatistics, clinical informatics, and bioinformatics to SPORE investigators. The Core comprises long-standing and new SPORE collaborators who provide expertise in study design, data management, data analysis, clinical informatics system creation, and bioinformatics data management and interpretation. The Biostatistics group assists primarily with study and protocol design, data analysis and interpretation, and review of requests presented to the Tissue Use Committee. The Informatics group assists with data quality control, data sharing, designing and maintaining the SPORE database that captures clinical, pathologic, and laboratory data into a relational database. The Bioinformatics group assists with computational evaluations of large databases, especially those created with genomic and proteomic analysis using gene expression and SNP arrays and proteomic profiles. All Core members participate in preparation of reports, presentations, and manuscripts. BIB Core members will work with SPORE investigators in the following areas: 1. Experimental design: Design of both pre-clinical and clinical experiments that can provide useful answers to scientific questions of importance in lung cancer. 2. Data collection/storage/retrieval/sharing: Creation and maintenance of a sound and user-friendly infrastructure for data collection, storage, quality assurance, retrieval, and sharing in support of SPORE trials and tissue banking. 3. Data analysis and manuscript preparation: Structuring of data analyses to provide clear answers to questions, and to communicate those findings in reports and papers. 4. Translational research methodology. Development and implementation of coherent methods that improve the efficiency and effectiveness of research across the wide spectrum from pre-clinical research to clinical studies, including work in the development of better understanding of the causes of lung cancer, early detection of lung cancer, biomarkers of lung cancer risk, and lung cancer therapeutics. In addition to these activities, Core members will continue their efforts to develop new approaches to improve the efficiency and outcomes of the process of translational research.