Systems Biology and Bioinformatics Group

系统生物学与生物信息学组

• 批准号: 8875520
• 负责人: Vernon Michael Holers
• 金额: $ 23.64万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-24 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8875520
• 关键词: Address; Autoimmune Diseases; Awareness; Bioinformatics; Biological; Biological Markers; Clinical; Collaborations; Community Outreach; Data; Data Analyses; Dependency; Disease; Drug Targeting; Educational workshop; Elements; Galaxy; Genome; Genomics; Goals; Human; Immunologic Monitoring; In Vitro; Informatics; Internet; Lead; Leadership; Measures; Medicine; Methods; Modality; Pathway interactions; Publishing; Research; Research Infrastructure; Research Personnel; Resources; Retrieval; Signal Pathway; Site; Software Tools; System; Systemic Lupus Erythematosus; Systems Biology; Techniques; Testing; Tissues; Universities; Validation; Work; cohort; human data; improved; in vivo Model; novel; professor; tool; working group

The overall goal of the SBG is to provide several established bioinformatics tools, and develop new methods to perform integrated multi-modality, multi-tissue, and multi-center analysis of the AMP Network generated data. The goals of the SBG will be (1) to collaborate with the Network investigators that are generating primary data, (2) to provide robust bioinformatics methods for analysis of the data, (3) to serve data to the Network investigators for hypothesis testing, and (4) to publish the data for public availability in collaboration with the Data Coordination and Management Core (DCM). The SBG will work with all Network sites to address their need for robust bioinformatics techniques to identify biomarkers and pathways for understanding disease mechanisms and predicting novel drug targets. More importantly, the SBG will carry out integrated multi-cohort, multi-tissue analysis by integrating data obtained through the Network with large amounts of publicly available human profiling data. Furthermore, the SBG will work closely with the DCM to publish analysis results to the Internet. Using Galaxy and Stanford Data Miner, the SBG will establish a pipeline for integrated analysis, in close collaboration with the DCM and the Statistical Research Group (SRG), to enable state-of-the-art analysis of multiple types of genome-scale data from human, in vitro and in vivo models. This will enable participating Network sites to maximally utilize the genomic, immune monitoring, clinical, phenotypic, and other types of data to determine functional dependencies among the measured elements and to direct further biological validation of these putative dependencies.

SBG的总体目标是提供几个已建立的生物信息学工具，并开发新的方法 对生成的AMP网络进行综合多模态、多组织和多中心分析 数据SBG的目标是：（1）与网络调查人员合作， 主要数据，（2）为数据分析提供强大的生物信息学方法，（3）将数据提供给 网络调查人员进行假设检验，以及（4）发布数据，供公众合作使用 数据协调和管理核心（DCM）。SBG将与所有网络站点合作， 解决他们对强大的生物信息学技术的需求，以确定生物标志物和途径， 了解疾病机制和预测新药靶点。更重要的是，SBG将携带 通过将通过网络获得的数据与大型 大量公开的人类特征分析数据。此外，SBG将与DCM密切合作， 将分析结果发布到互联网。SBG将利用Galaxy和斯坦福大学的数据挖掘器建立一个 与DCM和统计研究小组密切合作，进行综合分析 (SRG)，以实现对来自人类、体外和体内的多种类型的基因组规模数据的最新分析。 体内模型这将使参与网络的网站能够最大限度地利用基因组，免疫， 监测、临床、表型和其他类型的数据，以确定 测量的元素，并指导这些推定的依赖性的进一步生物学验证。