The Galaxy Project, University Park, PA, USA.
Database (Oxford). 2011 Apr 29;2011:bar011. doi: 10.1093/database/bar011. Print 2011.
Recent technological advances have lead to the ability to generate large amounts of data for model and non-model organisms. Whereas, in the past, there have been a relatively small number of central repositories that serve genomic data, an increasing number of distinct specialized data repositories and resources have been established. Here, we describe a generic approach that provides for the integration of a diverse spectrum of data resources into a unified analysis framework, Galaxy (http://usegalaxy.org). This approach allows the simplified coupling of external data resources with the data analysis tools available to Galaxy users, while leveraging the native data mining facilities of the external data resources. DATABASE URL: http://usegalaxy.org.
最近的技术进步使得我们能够为模型生物和非模型生物生成大量的数据。虽然过去只有相对较少的中央存储库来存储基因组数据,但现在已经建立了越来越多的独特的专门数据存储库和资源。在这里,我们描述了一种通用的方法,该方法可以将各种不同的数据资源集成到一个统一的分析框架中,即 Galaxy(http://usegalaxy.org)。这种方法允许将外部数据资源与 Galaxy 用户可用的数据分析工具简化地耦合,同时利用外部数据资源的本地数据挖掘功能。数据库 URL:http://usegalaxy.org。