Development, Evaluation, and Testing of the Sesame LIMS

Sesame是一个多功能的基于Web的实验室信息管理系统， Wisconsin-Madison在世界各地的多个实验室中使用，用于小规模和大规模 规模应用。Sesame支持信息的收集、组织、处理和分析 来自各种来源，包括数据库、实验室科学家、实验室仪器和软件 包装件.芝麻已经证明了它在结构和功能蛋白质组学研究中的价值， 管理共享仪器中心，如NMR光谱资源和分子 互动设施。Sesame系统使合作者能够参与研究项目， 同等地获得信息以及输入结果和处理数据的能力，而不论地点 （提供Web访问）。Sesame软件是用Java编写的，使用CORBA作为中间件， 连接到关系数据库管理系统。申请的资金将用于支持 继续开发、评估和测试Sesame软件包。软件开发 将致力于（1）提高芝麻框架的效率和灵活性，（2）使其更容易 用户根据自己的需要定制软件，（3）改进现有的应用程序，（4）开发 额外的应用程序。我们的目标是使软件可用于更大的客户结构 生物学家分子生物学家和生物化学家作为这项工作的一部分，我们将为 这样他们就可以开发Sesame模块来解决他们实验室特有的问题。我们将 确保软件运行在多种平台上，支持多种关系数据库 管理系统，并且是防火墙友好的。我们将改进软件的文档，继续 开发可通过网络访问的用户帮助页面，并为更广泛的 实验室仪器为各种Sesame开发的模式和受控词汇表 有兴趣的用户可在网上查阅有关申请。所有软件都将是开源的。我们将 扩展用于从外部数据存储库导入数据和将数据导出到外部数据存储库的协议。我们提出 进度评估的里程碑。

Sesame is a versatile Web-based laboratory information management system developed at the University of Wisconsin-Madison that is in use in multiple laboratories around the world both for small-scale and large- scale applications. Sesame supports the gathering, organization, processing, and analysis of information from a variety of sources, including databases, bench scientists, laboratory instrumentation, and software packages. Sesame has proved its value in structural and functional proteomics investigations, in the management of shared instrumentation centers such as NMR spectroscopy resources and molecular interaction facilities. The Sesame system enables collaborators to participate in a research project, with equivalent access to information and the ability to enter results and process data irrespective of location (given Web access). The Sesame software is written in Java, uses CORBA as a middleware and is interfaced to a relational database management system. The requested funds will be used to support the continued development, evaluation, and testing of the Sesame software package. The software development will be aimed at (1) improving the efficiency and flexibility of the Sesame framework, (2) making it easier for users to customize the software for their own needs, (3) improving existing applications, and (4) developing additional applications. The goals are to make the software available to a larger clientele of structural biologists, molecular biologists, and biochemists. As part of this effort, we will create universal objects for developers so that they can develop Sesame modules to solve problems specific to their laboratory. We will ensure that the software runs on a variety of platforms, supports a variety of relational database management systems, and is firewall friendly. We will improve the documentation of the software, continue development of web-accessible user help pages, and create Sesame interfaces to a wider range of laboratory instrumentation. The schema and controlled vocabularies developed for various Sesame applications will be made available on the web to interested users. All software will be open-source. We will extend protocols for importing data from and exporting data to external data repositories. We present milestones for progress assessment.