ECC UNIT II

ECC 第二单元

• 批准号: 7924847
• 负责人: Avi Ma'ayan
• 金额: $ 17.92万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7924847
• 关键词: Back; Bioinformatics; Cluster Analysis; Code; Communities; Computer Simulation; Computer software; Copying Processes; Custom; Data; Data Set; Databases; Development; Documentation; Experimental Models; Extensible Markup Language; Gene Proteins; Genes; Image; Imagery; Information Management; Information Systems; Internet; Laboratories; Life Cycle Stages; Link; Literature; Management Audit; Management Information Systems; Maps; Metadata; Microarray Analysis; Modeling; Names; Nature; New York; Online Systems; Ontology; Output; Pharmaceutical Preparations; Proteins; PubMed; Publications; Reporting; Research; Research Project Grants; Retrieval; Scientist; Security; Sedimentation process; Services; Software Tools; Solutions; Source; Standardization; Study Section; SwissProt; System; Systems Biology; Technology; Testing; Training; data exchange; data mining; data modeling; database design; design; experimental analysis; fly; image processing; member; programs; promoter; protein protein interaction; protocol development; repository; research study; software development; tool; web based interface; wiki

The Information Managements Unit (IMU) will centralize, federate, disseminate and manage all experimental data, models and computational results in a centralized coherent repository named Information Management System (IMS). The unit will also continue to expand current developments of data-mining by integrating and filtering qualitative and quantitative data from relevant external sources such as online databases and legacy experimental literature. The IMS repository will be continually populated with highcontent experimental data including imaging data from internal sources as described above, modeling results, models and software developed from internal sources, as well as data mined from external sources to enrich the content of the IMS repository. The IMU will maintain local copies of processed versions of publicly available external databases for genes, proteins, protein-protein interactions and drug-protein interactions (i.e. PubMed, EntrezGene (1), Swiss-Prot (2), and DrugBank(3)). The data produced by the internal experimental efforts and modeling efforts associated with the proposed projects will be annotated using metadata (data that describes the data). XML schemas(4), Object Oriented and Relational Database schemas (5) will be developed to organize all these data for the purpose of optimal search, visualization, web-access, download retrieval, statistical analysis and modeling, as well as for the purpose of configuration management, auditing, reporting, backup, and security. The computational modeling efforts and experimental efforts would both benefit from standardization of data exchange and storage schemas. The collaborative interdisciplinary nature of the projects requires rapid flow, exchange, and reusability of information and information systems to facilitate and boost interactions among the laboratories. Therefore, effective sedimentation and sharing of research results, models and databases within the Center and with the research community will be achieved through web-based database interfaces and visualization tools, webbased interactive tools (i.e. Wiki), and other web-based/enabled technologies linked to the IMS repository. Additionally, since computational modeling, as well as initial analysis of experimental data often requires onthe- fly development of software utilities to support the ongoing wet and dry experimental research, the IMU will provide ad-hoc software services and solutions, including all aspect of software development life-cycle including: design, development, testing, training and documentation of the software utilities. These software tools will be cross-platform compatible and will be disseminated for free to the research community in hopes they will assist scientists, inside and outside the center, who have similar computational requirements.

信息管理部门（IMU）将集中，联合，传播和管理所有 集中式连贯存储库中的实验数据，模型和计算结果命名信息 管理系统（IMS）。该部门还将继续扩大数据挖掘的当前发展 从相关外部来源（例如在线）整合和过滤定性和定量数据 数据库和传统实验文献。 IMS存储库将不断填充 实验数据，包括上述内部来源的成像数据，建模结果， 从内部来源开发的模型和软件，以及从外部来源挖掘的数据以丰富 IMS存储库的内容。 IMU将保留公开处理版本的本地副本 可用的外部数据库，用于基因，蛋白质，蛋白质 - 蛋白质相互作用和药物蛋白质相互作用 （即PubMed，Entrezgene（1），Swiss-Prot（2）和Drugbank（3））。内部产生的数据 将使用元数据注释与拟议项目相关的实验工作和建模工作 （描述数据的数据）。 XML模式（4），面向对象和关系数据库模式（5） 将开发用于组织所有这些数据的目的，以进行最佳搜索，可视化，网络访问， 下载检索，统计分析和建模以及配置管理的目的 审核，报告，备份和安全性。计算建模工作和实验努力将 两者都受益于数据交换的标准化和存储模式。 项目的协作跨学科性质需要快速流动，交换和可重复使用 信息和信息系统，以促进和促进实验室之间的互动。所以， 有效的沉积和共享研究结果，模型和数据库以及中心内的模型和数据库 研究社区将通过基于Web的数据库界面和可视化工具来实现 交互式工具（即Wiki）和其他基于Web的启用技术链接到IMS存储库。 此外，由于计算建模以及对实验数据的初始分析通常需要对 软件公用事业的飞行开发以支持正在进行的潮湿和干燥的实验研究，即IMU 将提供临时软件服务和解决方案，包括软件开发生命周期的所有方面 包括：设计，开发，测试，培训和软件实用程序文档。这些软件 工具将是跨平台兼容的，并将免费向研究社区传播 他们将协助具有类似计算要求的中心内外的科学家。