Biostatistics and Bioinformatics Core

生物统计学和生物信息学核心

• 批准号: 9058446
• 负责人: GREG MAISLIN
• 金额: $ 13.22万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-03-15 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9058446
• 关键词: Accounting; Address; Advocate; Age; Age-Months; Aging; Algorithms; Animals; Apnea; Area; Arts; Australia; Authorship; Behavior; Behavior assessment; Behavioral; Benchmarking; Big Data; Bioinformatics; Biological Markers; Biometry; Biostatistical Methods; Biostatistics Core; Breeding; Circadian Rhythms; Classification; Collaborations; Complex; Computer software; Computers; Cross-Sectional Studies; Data; Data Analyses; Data Set; Databases; Development; England; Ensure; Evaluation; Faculty; Funding; Future; Generations; Genome; Genomics; Genotype; Goals; Grant; Head; High Performance Computing; High-Throughput Nucleotide Sequencing; Homeostasis; Hour; Human; Image; Image Analysis; Individual; Individual Differences; Inflammatory Response; Influentials; Institutes; Instruction; Iran; Japanese Population; Lead; Leadership; Length; Libraries; Linux; Literature; Longevity; Machine Learning; Manuscripts; Measures; Methodology; Methods; Mission; Molecular; Movement; Mus; Neurobiology; Obesity; Output; Paper; Performance; Physiological; Preparation; Price; Procedures; Process; Program Research Project Grants; Publications; Pythons; Research; Research Design; Research Personnel; Resources; Role; Rotation; Sample Size; Schedule; Schools; Scientist; Sequence Analysis; Services; Severities; Sleep; Sleep Apnea Syndromes; Sleep Architecture; Sleep Deprivation; Sleep Stages; Specificity; Speed; State Interests; Statistical Computing; Statistical Methods; Surface; Tail; Technology; Testing; Thinking; Time; Translating; Twin Multiple Birth; Update; Ursidae Family; Voice; Work; age related; aged; cost; design; experience; improved; indexing; innovation; interest; longitudinal design; male; medical specialties; meetings; mid-career faculty; novel; professor; programs; research study; response; statistics; success; tool; transcriptome sequencing; trend

The mission of the Biostatistics and Bioinformatics Core is to guarantee that all investigators involved in the Program have access to state-of-the art methodology relevant to their specific research aims. The substantial experience and analytical expertise available through this Core's associated faculty and staff is a major asset to the Program Project and provides a platform for continuing the tradition of developing innovative analytical approaches to the Project. This Core builds on the successful core in the previous submission-the Biostatistical and Data Base Core. The Core faculty from the previous submission. Professors Greg Maislin and Abraham Wyner, continue to be involved providing stability in leadership. Dr. John Hogenesch and Dr. Ron Anafi are new Core faculty added in order to meet the evolving bioinformatics needs of the projects. The Core faculty and staff will ensure that the statistical approaches employed in the overall program are state of the art, and will continue to introduce, where appropriate, new strategies to assist in meeting the scientific needs of the Program. Professor Wyner will continue to support application of state-of-art machine learning classification algorithms of sleep-wake behavioral data and to develop new methodology as needs are identified. Drs. Hogenesch and Anafi will facilitate application of cutting edge bioinformatics strategies and will enable the Program investigators to take advantage of new discoveries throughout the funding period of the Program. Professor Maislin's more than two decade long collaboration with the Program Director and broad experience in applying a wide range of biostatistical methods to sleep and aging related research questions facilitates the development of robust study designs, clear statements of hypotheses, and the valid application of the scientific method throughout the Program. Faculty and staff of the Biostatistics and Bioinformatics Core will work with investigators to analyze data obtained in the studies being conducted and assist in the preparation of manuscripts, including description of the statistical approaches employed. The Core will also work closely with the Mouse Behavioral Assessment and Breeding Core (Core B) in the application of statistical methodology designed to assess lifespan changes in sleep and wake behavior that will be assessed relative to relevant changes in physiological biomarkers across all of the Projects. The Biostatistics and Bioinformatics Core is tightly integrated with the all three Projects and the other Cores and serves as an essential component and major asset of this Program Project.

生物统计学和生物信息学核心的使命是保证所有参与研究的研究人员 程序有机会获得国家的最先进的方法，其具体的研究目标。的 通过这个核心的相关教师和工作人员提供的大量经验和分析专业知识是一个 项目的主要资产，并提供了一个平台，继续发展的传统， 创新的分析方法。这个核心是建立在以前成功的核心之上的。 提交-生物统计和数据库核心。上一次提交的核心教师。 教授格雷格·梅斯林和亚伯拉罕·怀纳，继续参与提供稳定的领导。博士 约翰Hogenesch和博士罗恩安纳伯格是新的核心教师增加，以满足不断发展的生物信息学 项目的需要。核心教师和工作人员将确保采用的统计方法， 整体计划是最先进的，并将继续引入，在适当的情况下，新的战略， 协助满足该计划的科学需求。Wyner教授将继续支持应用 最先进的睡眠-觉醒行为数据的机器学习分类算法，并开发新的 方法，确定需求。Hogenesch博士和Angles博士将促进尖端技术的应用 生物信息学战略，并将使该计划的研究人员能够利用新的发现 在整个项目的资助期内。Maislin教授二十多年的合作 与项目主任和广泛的经验，应用广泛的生物统计方法，睡眠 和老化相关的研究问题，促进了稳健的研究设计，明确的声明， 假设，并在整个计划中有效应用科学方法。教职员工 生物统计学和生物信息学核心将与研究人员合作，分析研究中获得的数据 并协助编写手稿，包括说明统计数据， 采用的方法。核心还将与小鼠行为评估密切合作， 育种核心（核心B）在应用统计方法学评估寿命变化中的作用 将相对于生理生物标志物的相关变化评估睡眠和觉醒行为 在所有的项目中。生物统计学和生物信息学核心与所有三个核心紧密结合。 项目和其他核心，并作为本计划的重要组成部分和主要资产 项目