SGER: Developing Web Services for the Arabidopsis Community

基因组研究所获得了探索性研究（SGER）的小额赠款，以开发一个原型程序和工具，在拟南芥社区的少量数据库上实现Web服务。在过去的几年里，由NSF 2010和美国其他项目以及欧盟相应项目资助的拟南芥研究产生了前所未有的大量具有广泛科学意义的数据。要充分挖掘这些数据的潜力，就需要数据的可访问性和整合性。虽然所有数据都已公布，但所使用的机制主要是通过具体项目的网站，这些网站的格式和内容各不相同。这导致了这样一种情况，即找到所有这些位点并查询它们中的每一个以便例如编译单个拟南芥基因的所有可用数据是非常繁琐的。Web服务提供了一种机制，通过这种机制，驻留在许多不同位置的数据可以无缝集成，从而为用户提供更丰富的数据集。这个示范项目的目的是成功地部署Web服务在大约八个研究网站在美国，不同的数据，他们主机的种类，并在专业水平的PI在网站上。向研究界展示这种数据整合方法的价值，预计将促进其逐步得到更广泛的采用，并开发出一套更丰富的工具/客户端，进一步加强数据整合。该项目更广泛的影响是在拟南芥数据的整合和传播，其中大部分是由2010年的项目，研究界。数据将可从其来源地直接访问，因此将是最新的。该项目将仔细记录任何个人通过网络服务提供他/她的数据所需的硬件和软件要求，并将提供一个“如何”的手册来设置。这些努力的结果将在年度国际拟南芥研究会议上报告和展示。

The Institute for Genomic Research is awarded a Small Grant for Exploratory Research (SGER) to develop a prototype procedure and tools to implement web services on a small number of databases in the Arabidopsis community. Over the past few years Arabidopsis thaliana research, funded by the NSF 2010 and other programs in the US and corresponding programs in the EU, has generated unprecedented amounts of data of broad scientific interest. Exploiting the full potential of these data requires accessibility and integration. While all data is being made public, the mechanism used is mostly by project-specific web sites that vary widely in format and content. This leads to a situation where it is very tedious to find all these sites and query each of them in order to e.g. compile all data available for a singe Arabidopsis gene. Web services provide a mechanism whereby data residing at many different locations can be seamlessly integrated to provide the user with richer data sets. This demonstration project is initiated to successfully deploy web services at approximately eight research sites in the US that vary both in the kinds of data that they host, and in the level of expertise of the PIs at the sites. Demonstration to the research community of the value of this method of data integration is expected to stimulate its progressively wider adoption as well as the development of a richer suite of tools/clients that will further enhance data integration. The broader impacts of this project are in the integration and dissemination of Arabidopsis data, much of it generated by 2010 projects, to the research community. Data will be directly accessible from the location at which it originates, and thus will be the most current. The project will carefully document the hardware and software requirements needed for any individual to provide his/her data via web services and will provide a "how to" manual to set this up. The results of these efforts will be reported and demonstrated at the annual International Arabidopsis Research Conference.