Biostatistics and Bioinformatics

生物统计学和生物信息学

基本信息

批准号：
9982411
负责人：
CHRISTOPH LANGE
金额：
$ 28.53万
依托单位：
BRIGHAM AND WOMEN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-01 至 2023-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9982411
关键词：
Address Airway Disease Appointment Asthma Bioinformatics Biology Biometry Chronic Obstructive Airway Disease Computer software DNA DNA Methylation DNA sequencing Data Data Analyses Development Disease Ensure Epigenetic Process Gene Expression Generations Genetic Genetic Transcription Goals Hospitals Joints Medicine Methodology Methods Methylation Molecular Nature Pathway interactions Patients Physicians Productivity Public Health Schools RNA methylation Resources Statistical Data Interpretation Statistical Methods Structure Systems Biology Time Woman Work base bioinformatics infrastructure bioinformatics pipeline biomedical informatics bisulfite data cleaning data curation data management data pipeline experience genetic analysis genome-wide genomic data improved innovation insight medical schools miRNA expression profiling molecular array novel professor programs statistics transcriptome sequencing

项目摘要

ABSTRACT The overarching goal of the program project, “Systems Biology of Airway Disease”, is to identify common molecular determinants and pathways for asthma and COPD. These determinants will be identified through the use of a diverse array of molecular data — DNA sequencing and genomewide SNP data (Project 1), RNA sequencing and expression data (Project 2), methylation sequencing and miRNA sequencing data (Project 3). In order to meet the goals of this project, extensive biostatistical and bioinformatics support is necessary and will be implemented throughout each of the three projects. As such, we have established a Biostatistics and Bioinformatics Core (Core B) that will meet these needs for the program project. Specifically, we will develop/refine bioinformatics pipelines for DNA, RNA and methylation sequencing data to ensure that the sequencing data to be generated will be of high quality and are managed properly. These pipelines will be incorporated into the existing bioinformatics structure that supports the other molecular data being used throughout this PPG. Several of the goals throughout the three projects are innovative in nature and are best addressed through the development of new statistical methods that are specific to the project aims. As such, this core will also develop and distribute novel statistical genetics methods and software necessary to meet the specific needs of each of the projects. Finally, the goals for each project require extensive statistical analyses. This core will oversee the statistical analyses throughout the PPG, ensuring that the analyses are appropriate and completed in a timely manner. The Biostatistics and Bioinformatics Core will be directed by Dr. Christoph Lange, Professor of Biostatistics at the Harvard School of Public Health (HSPH), with a joint appointment as Assistant Professor of Medicine at the Harvard Medical School (HMS). In addition, there is a team of experienced statisticians, bioinformaticists and bioinformaticians who are longtime collaborators with each other and with the Project Leaders, Dr. Scott T. Weiss (Project 1), Dr. Benjamin A. Raby (Project 2) and Dr. Dawn L. DeMeo (Project 3). Their successful track record and productivity suggests that the Biostatistics and Bioinformatics team will work successfully to help meet the overall needs of this PPG.

抽象的该计划项目“气道疾病的系统生物学”的总体目标是确定常见的哮喘和慢性阻塞性肺病的分子决定因素和途径将通过以下方法确定。使用多种分子数据 — DNA 测序和全基因组 SNP 数据（项目 1）、RNA 测序和表达数据（项目 2）、甲基化测序和 miRNA 测序数据（项目 3）。为了实现该项目的目标，需要广泛的生物统计学和生物信息学支持将在这三个项目中的每一个项目中实施。因此，我们建立了生物统计和生物信息学核心（核心 B）将满足该计划项目的这些需求。开发/完善 DNA、RNA 和甲基化测序数据的生物信息学流程，以确保生成的测序数据将是高质量的，并且这些管道将得到妥善管理。纳入支持正在使用的其他分子数据的现有生物信息学结构中贯穿这个 PPG 的几个目标本质上都是创新的并且是最好的。通过开发针对项目目标的新统计方法来解决。该核心还将开发和分发新的统计遗传学方法和软件，以满足最后，每个项目的目标都需要进行广泛的统计分析。该核心将监督整个 PPG 的统计分析，确保分析是适当的并及时完成生物统计学和生物信息学核心课程将由 Christoph 博士指导。兰格，哈佛大学公共卫生学院（HSPH）生物统计学教授，并被联合任命为此外，还有一个哈佛医学院（HMS）医学助理教授的团队。经验丰富的统计学家、生物信息学家和生物信息学家，他们是每个人的长期合作者以及项目负责人 Scott T. Weiss 博士（项目 1）、Benjamin A. Raby 博士（项目 2）和 Dr. Benjamin A. Raby。 Dawn L. DeMeo（项目 3）。他们的成功记录和生产力表明，生物统计学和生物信息学团队将成功开展工作，帮助满足该 PPG 的总体需求。