Biostatistics and Bioinformatics

生物统计学和生物信息学

• 批准号: 8302450
• 负责人: Susan Michelle Geyer
• 金额: $ 16.18万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8302450
• 关键词: Address; Adverse event; Affect; Algorithms; Analysis of Variance; Archives; Area; Basic Science; Bioinformatics; Biometry; Biostatistics Core; Candidate Disease Gene; Cell Survival; Characteristics; Clinic; Clinical; Clinical Data; Clinical Research; Clinical Sciences; Clinical Trials; Clinics and Hospitals; Collaborations; Complement; Complementary DNA; Complex; Computational Biology; Conduct Clinical Trials; Correlative Study; Country; Data; Data Analyses; Data Collection; Data Quality; Data Set; Databases; Development; Disease; Electronics; Ensure; Epidemiologic Studies; Epidemiology; Evaluation; Experimental Designs; Funding; Gene Mutation; Genes; Genetic; Genomics; Genotype; Goals; Grant; Health; Human Resources; Image; Immunologics; Information Management; Iowa; Laboratories; Length; Link; Logistics; Lymphoma; Manuscripts; Mayo Clinic Cancer Center; Measures; Methodology; Modeling; Molecular; Monitor; Mutation; Nature; Online Systems; Outcome; Outcome Measure; Patients; Phase; Phase II Clinical Trials; Population; Preparation; Probability; Procedures; Process; Protocols documentation; Quality Control; Randomized; Registries; Relative (related person); Research; Research Design; Research Infrastructure; Research Personnel; Resources; Role; Sample Size; Sampling; Scanning; Scheme; Screening Result; Screening procedure; Site; Specialized Program of Research Excellence; Specific qualifier value; Speed; Staging; Statistical Models; Syndrome; System; Techniques; Testing; Therapeutic Intervention; Time; Transcript; Treatment Protocols; Universities; Work; Writing; abstracting; comparison group; data management; design; experience; innovation; insight; interest; member; novel; research study; tissue registry; treatment response; tumor registry

The Biostatistics and Bioinformatics Core (BABC) provides statistical collaboration and data management support for each of the SPORE projects, the developmental projects, and the other Cores. In addition, the BABC also provides collaboration and support in bioinformatics and computational biology research for SPORE projects as appropriate. In the past funding period the BABC established the infrastructure to link the Lymphoma clinical and research databases between Ul and MC. This system is fully functional and allows web-based registration and data entry from both sites into a common database. The BABC developed the statistical plan for the 4 clinical trials (LS0388, LS0382, LS038B, LS058C) initiated in the SPORE as well as the SPORE imaging trial (LS0383). This core provides data management for each of these trials, monitors adverse events in collaboration with the Clinical Research Core, and prepares data summaries for manuscript preparation. The BABC has been very active in preparing the statistical plan for each of the four Projects in this competitive renewal. Each of the projects presented in this application reflects input from members of the BABC on study design, analysis plan, and bioinformatics needs. These projects span a wide range of approaches and analyses required. The BABC builds upon the innovative and time-tested procedures and systems developed by Mayo Clinic, one of the largest statistical groups in the country whose members have collaborated on more than 8,000 clinical and basic science research studies since 1966, as well as the Coordinated Laboratory for Computational Genomics at the University of Iowa founded in 1996. The BABC will provide statistical and bioinformatics support across different fields, including epidemiological studies, basic sciences including translational and immunologic correlative studies, gene microarray and imaging, clinical trials, and gene and mutation discovery, expression analysis and genomics, and information management. The comprehensive nature of the BABC, which will have activities at both the MC and Ul, assures each SPORE investigator access to statistical and bioinformatics expertise that includes collaborative development of study designs and analysis plans, state of the art data analysis and interpretation, data management resources, and abstract and manuscript preparation. The BABC also provides a mechanism for the management and integration of both existing and newly collected data through consistent and compatible data handling. Areas of support include database development, data form development and processing, data collection and entry, data archiving, quality control, and management of information relating to gene mutation identification and genotyping data for disease linkage experiments. This Core complements and assists the efforts of the Clinical Research and Biospecimens Cores by providing superior data management and experience with tissue registries. The strengths of the BABC are our collaboration with each of the projects and cores, the ability to utilize the established centralized research database as well as the operational and statistical infrastructure already in place in the UI/MC Lymphoma SPORE, and the breadth of expertise provided by BABC personnel.

生物统计学和生物信息学核心（BABC）提供统计协作和数据管理 支持每个孢子项目，发展项目和其他核心。另外， BABC还为生物信息学和计算生物学研究提供协作和支持 孢子项目适当。在过去的资金期间，BABC建立了基础设施以将 UL和MC之间的淋巴瘤临床和研究数据库。该系统功能齐全，允许 将两个站点的基于Web的注册和数据输入到一个通用数据库中。 BABC发展了 4个临床试验的统计计划（LS0388，LS0382，LS038B，LS058C） 孢子成像试验（LS0383）。该核心为每个试验提供数据管理，并监视 与临床研究核心合作的不良事件，并准备手稿的数据摘要 准备。 BABC非常积极地准备四个项目中的每个项目的统计计划 这种竞争性更新。本申请中介绍的每个项目都反映了来自 BABC研究设计，分析计划和生物信息学需求。这些项目跨越了广泛的 所需的方法和分析。 BABC建立在创新且经过时间测试的程序的基础上， Mayo Clinic开发的系统，该系统是该国最大的统计群体之一 自1966年以来，与8,000多个临床和基础科学研究研究合作，以及 爱荷华大学的计算基因组学实验室成立于1996年。BABC将 在不同领域提供统计和生物信息学支持，包括流行病学研究，基本 科学包括转化和免疫相关研究，基因微阵列和成像，临床 试验，基因和突变发现，表达分析和基因组学以及信息管理。 BABC的全面性质（将在MC和UL都进行活动）确保每个活动 孢子研究者访问包括协作开发在内的统计和生物信息学专业知识 研究设计和分析计划，最先进的数据分析和解释，数据管理 资源以及抽象和手稿准备。 BABC还提供了一种机制 通过一致和兼容的数据管理和集成现有和新收集的数据 处理。支持领域包括数据库开发，数据形式开发和处理，数据 收集和输入，数据归档，质量控制以及与基因突变有关的信息管理 疾病连锁实验的识别和基因分型数据。这个核心补充并协助 通过提供卓越的数据管理和 具有组织登记的经验。 BABC的优势是我们与每个项目的合作 和核心，能够利用已建立的集中研究数据库以及运营和 在UI/MC淋巴瘤孢子中已经建立了统计基础设施，专业知识的广度 由BABC人员提供。