Neuroinformatics for gene expression: networks, function and meta-analysis

基因表达的神经信息学：网络、功能和荟萃分析

• 批准号: 8502624
• 负责人: Inanc Birol
• 金额: $ 23.21万
• 依托单位: UNIVERSITY OF BRITISH COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8502624
• 关键词: Accounting; Address; Algorithms; Alzheimer' s Disease; Binding Sites; Biomedical Research; Brain; Brain Diseases; Candidate Disease Gene; Communities; Computer Analysis; Computing Methodologies; Data; Data Analyses; Databases; Development; Diagnostic; Disease; Evaluation; Gene Expression; Gene Expression Profile; Gene Expression Profiling; Gene Expression Regulation; Genes; Genetic; Genetic Variation; Genomics; Health; Human; Imagery; Link; Meta-Analysis; Methods; Molecular Profiling; Nervous system structure; Neurosciences; Online Systems; Output; Pathologic Processes; Pattern; Phenotype; Philosophy; Process; Proteins; RNA Splicing; Regulation; Resource Development; Resources; Role; Schizophrenia; Societies; Stroke; System; Techniques; Tissue-Specific Gene Expression; Transcriptional Regulation; Vacuum; Variant; Work; autism spectrum disorder; base; computerized tools; design; experience; functional genomics; gene function; improved; information framework; nervous system disorder; neuroinformatics; novel; tool; tool development; transcription factor; transcriptome sequencing

DESCRIPTION (provided by applicant): An enduring challenge in biomedical research is deciphering the function of genes, and in particular how they work together to influence human health and disease. This project centers on the development and application of computational databases, tools and techniques for the study of large quantities of functional genomics data with a focus on the nervous system, building on our experience in meta-analysis of gene expression profiling data. Our first aim focuses on refining and applying methods for computational analysis of gene function in the nervous system, based on gene networks derived from expression profiling and other public data. Our second aim is to study the relationships between phenotypes and gene expression patterns, and applying the approaches to expression changes associated with diseases of the nervous system. Third, we propose to develop new visualization methods for gene networks, and to incorporate data on transcriptional gene regulation including transcription factor binding sites and genetic variation in gene expression. These resources will be designed to interoperate with other neuroinformatics databases, and disseminated through our "Gemma" web-based database system.

描述（由申请人提供）：生物医学研究中的一个持久挑战是破译基因的功能，特别是它们如何共同影响人类健康和疾病。 该项目以我们在基因表达谱数据荟萃分析方面的经验为基础，以计算数据库、工具和技术的开发和应用为中心，用于研究大量功能基因组学数据，重点关注神经系统。 我们的第一个目标侧重于基于表达谱和其他公共数据衍生的基因网络，完善和应用神经系统中基因功能的计算分析方法。 我们的第二个目标是研究表型和基因表达模式之间的关系，并将这些方法应用于与神经系统疾病相关的表达变化。 第三，我们建议开发新的基因网络可视化方法，并整合转录基因调控的数据，包括转录因子结合位点和基因表达的遗传变异。 这些资源将被设计为与其他神经信息学数据库互操作，并通过我们的“Gemma”网络数据库系统进行传播。