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A New Robust Library Search Algorithm for LC-MSMS of Small Molecules and its Spectral Library Sharing Mechanism

机译:一种新的小分子LC MSM的鲁棒库搜索算法及其光谱库共享机制

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SmileMS is a identification platform which is built around a new, robust library search algorithm. Results on big data sets have demonstrated better performances than a dot-product based approaches (e.g. MS Search from NIST). Furthermore SmileMS is designed to permit easy sharing of libraries, which allows collaborating laboratories to mutually use each others data. The tool is routinely used in a number of laboratories in clinical toxicology and forensic applications that are currently creating their own libraries.
机译:Smilems是一个识别平台,它围绕新的强大的库搜索算法构建。大数据集的结果已经表现出比基于点产品的方法更好的性能(例如,从NIST搜索)。此外,Smilems旨在允许简单地共享库,这允许协作实验室相互使用彼此的数据。该工具经常用于许多在临床毒理学和法医应用中的实验室,目前正在创建自己的图书馆。

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