Bioinformatics and Integrative/Comparative Genomics

生物信息学和综合/比较基因组学

基本信息

批准号：
8049595
负责人：
ISAAC S. KOHANE
金额：
$ 15.03万
依托单位：
BOSTON CHILDREN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2001
资助国家：
美国
起止时间：
2001-09-25 至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/8049595
关键词：
Address Binding Bioinformatics Biological Biological Models Biological Process Biology Candidate Disease Gene Cell Therapy Clinical Computer Simulation Computing Methodologies DYSF gene Data Data Element Data Set Data Storage and Retrieval Databases Dependency Development Disease model Electronics Gene Expression Gene Expression Profile Genes Genomics Goals Human In Vitro Investigation Knockout Mice Maps Methodology Methods Modeling Molecular Mus Muscle Muscle Cells Muscle Development Muscular Dystrophies Myopathy Neuromuscular Diseases Pathology Pathway interactions Patient Recruitments Promoter Regions Public Domains Research Design Research Infrastructure Role Sampling Services Signal Pathway Staging Statistical Methods Stem cells System Techniques Translations Validation Vertebral column Zebrafish comparative comparative genomics computer infrastructure data exchange design functional genomics genome sequencing in vivo myotubularin novel programs research study tool transcriptomics web site

项目摘要

The two primary goals of Core C Bioinformatics and Integrative/Comparative Genomics Core are (1) to provide the common computational infrastructure and bioinformatics support for high-throughput, systematic data curation, exchange and translation, and (2) to develop, apply and automate computational integrative/comparative genomics methods on microarray-derived transcriptome data, across the different Project model systems. An integrative and comparative genomics approach will enable each Program Project to use diverse muscle and non-muscle transcriptome data sets from all Program Projects and the public domain to generate hypotheses about candidate genes, functional dependencies or pathways that are important in muscular dystrophies, muscle development and myogenic cell therapy. The approach combines information from public databases of bio-molecular functions and interactions, and multiple-genome sequence data to prioritize further experimental studies in the different model systems. The three aims of Core C are: (1) to establish an integrative computational infrastructure for data storage, curation and automated cross-systems matching of genomic data elements; (2) to develop and implement computational methods for integrative/comparative functional genomics; and (3) to use integrative/comparative genomics techniques to systematically identify or infer functional hierarchies underlying developmental aspects of muscle cells and specific myopathies for further experimental validation.

核心 C 生物信息学和综合/比较基因组学核心的两个主要目标是 (1) 为高通量、系统化的研究提供通用的计算基础设施和生物信息学支持数据管理、交换和翻译，以及 (2) 开发、应用和自动化计算跨不同领域的微阵列转录组数据的综合/比较基因组学方法项目模型系统。综合和比较基因组学方法将使每个计划项目使用来自所有计划项目和公共领域，以生成有关候选基因、功能依赖性或途径的假设在肌营养不良症、肌肉发育和生肌细胞治疗中很重要。该方法结合了来自生物分子功能和相互作用以及多基因组公共数据库的信息对数据进行排序，以优先考虑不同模型系统中的进一步实验研究。的三个目标核心 C 是：(1) 建立一个用于数据存储、管理和管理的综合计算基础设施基因组数据元素的自动跨系统匹配； (2) 开发并实施计算综合/比较功能基因组学方法； (3) 使用综合/比较基因组学系统地识别或推断发育方面的功能层次结构的技术肌肉细胞和特定的肌病进行进一步的实验验证。