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Dealing with the Data Deluge: Handling the Multitude Of Chemical Biology Data Sources

机译:与海量数据处理:处理众多化学生物学数据源

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摘要

Over the last 20 years, there has been an explosion in the amount and type of biological and chemical data that has been made publicly available in a variety of online databases. While this means that vast amounts of information can be found online, there is no guarantee that it can be found easily (or at all). A scientist searching for a specific piece of information is faced with a daunting task - many databases have overlapping content, use their own identifiers and, in some cases, have arcane and unintuitive user interfaces. In this overview, a variety of well known data sources for chemical and biological information are highlighted, focusing on those most useful for chemical biology research. The issue of using multiple data sources together and the associated problems such as identifier disambiguation are highlighted. A brief discussion is then provided on Tripod, a recently developed platform that supports the integration of arbitrary data sources, providing users a simple interface to search across a federated collection of resources.
机译:在过去的20年中,在各种在线数据库中公开提供的生物和化学数据的数量和类型激增。尽管这意味着可以在网上找到大量信息,但不能保证可以轻松(或根本)找到这些信息。寻找特定信息的科学家面临着艰巨的任务-许多数据库具有重叠的内容,使用它们自己的标识符,在某些情况下,具有不可思议且不直观的用户界面。在本概述中,着重介绍了各种众所周知的化学和生物学信息数据源,重点是对化学生物学研究最有用的数据源。突出显示了一起使用多个数据源的问题以及相关的问题,例如标识符歧义消除。然后在Tripod(最近开发的平台,该平台支持任意数据源的集成)上进行了简短的讨论,该平台为用户提供了一个简单的界面来搜索联合的资源集合。

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