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Multi-stage search for microbe mass spectra in reference libraries

机译:在参考库中多阶段搜索微生物质谱

摘要

The invention relates to the identification of microbes in a sample by calculating the similarities between a mass spectrum of the sample and reference mass spectra in large spectral libraries. The invention provides a multi-stage method for faster identification because the similarity analysis for a large library of 10,000 reference spectra takes around one minute with today's computers, while the spectrum acquisition itself takes only a few seconds. In this multi-stage method, the search is initially confined to a relatively small sub-library of a first stage, containing only the reference spectra of a few microbes which, statistically, are found particularly often and, in addition, all reference spectra that have at least a minimum level of similarity to the reference spectra of these microbes. In routine laboratories, it is often the case that 50 percent of all routine analyses relate to only five species of microbe, for example; the sub-library which contains all reference spectra that are sufficiently similar to the spectra of these species of microbe contains around one hundred reference spectra, and the search in this sub-library of the first stage takes much less than one second. Only if the search does not provide a hit with sufficient certainty of identification, is the search carried out in sub-libraries of higher stages compiled in an analogous manner or, finally, in the whole library. A hierarchy of sub-libraries can be generated automatically, and it is possible to minimize the average computing time for the identification by taking into account the latest statistics and by selecting right numbers and sizes of the sub-libraries.
机译:本发明涉及通过计算样品的质谱与大型光谱库中的参考质谱之间的相似性来鉴定样品中的微生物。本发明提供了一种用于快速识别的多阶段方法,因为利用当今的计算机对10,000个参考光谱的大型库进行相似性分析大约需要一分钟,而光谱采集本身仅需要几秒钟。在这种多阶段方法中,搜索最初被限制在第一阶段的一个相对较小的子库中,该子库仅包含一些微生物的参考光谱,这些参考光谱在统计上特别常见,此外,所有参考光谱具有与这些微生物的参考光谱至少相似的最低水平。例如,在常规实验室中,通常所有常规分析中有50%仅涉及5种微生物。包含与这些微生物物种的光谱足够相似的所有参考光谱的子库包含大约一百个参考光谱,并且在第一阶段的该子库中进行搜索所需的时间远远少于一秒钟。只有在搜索没有提供足够确定性的匹配结果时,搜索才会以类似的方式在最终阶段的子库中进行,或者最终在整个库中进行。可以自动生成子库的层次结构,并且可以通过考虑最新统计信息并选择正确的子库数量和大小来最小化标识的平均计算时间。

著录项

  • 公开/公告号EP2354796B1

    专利类型

  • 公开/公告日2015-07-29

    原文格式PDF

  • 申请/专利权人 BRUKER DALTONIK GMBH;

    申请/专利号EP20110152193

  • 发明设计人 KOSTRZEWA MARKUS;

    申请日2011-01-26

  • 分类号G01N33/68;

  • 国家 EP

  • 入库时间 2022-08-21 15:08:03

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