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Detailed Investigation and Comparison of the XCMS and MZmine 2 Chromatogram Construction and Chromatographic Peak Detection Methods for Preprocessing Mass Spectrometry Metabolomics Data

机译:XCMS和MZMINE 2色谱结构和色谱峰检测方法的详细研究和比较预处理质谱法代谢组数据

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摘要

XCMS and MZmine 2 are two widely used software packages for preprocessing untargeted LC/MS metabolomics data. Both construct extracted ion chromatograms (EICs) and detect peaks from the EICs, the first two steps in the data preprocessing workflow. While both packages have performed admirably in peak picking, they also detect a problematic number of false positive EIC peaks and can also fail to detect real EIC peaks. The former and latter translate downstream into spurious and missing compounds and present significant limitations with most existing software packages that preprocess untargeted mass spectrometry metabolomics data. We seek to understand the specific reasons why XCMS and MZmine 2 find the false positive EIC peaks that they do and in what ways they fail to detect real compounds. We investigate differences of EIC construction methods in XCMS and MZmine 2 and find several problems in the XCMS centWave peak detection algorithm which we show are partly responsible for the false positive and false negative compound identifications. In addition, we find a problem with MZmine 2's use of centWave. We hope that a detailed understanding of the XCMS and MZmine 2 algorithms will allow users to work with them more effectively and will also help with future algorithmic development.
机译:XCMS和MZMine 2是两个广泛使用的软件包,用于预处理未标准的LC / MS代谢组数据。两个构造提取的离子色谱图(EICS)并从EICS中检测到峰值,数据预处理工作流程中的前两个步骤。虽然两个包装在峰值拣选中令人钦佩地表现,但它们还检测了一个有问题的误报EIC峰值,并且也可能无法检测到真正的EIC峰。前者和后者将下游翻译成杂散和缺失的化合物,并具有预处理未标准的质谱代谢组数据数据的大多数现有软件包的显着限制。我们寻求了解XCMS和MZMINE 2找到他们所做的假正向EIC峰的具体原因,以及他们无法检测到真实化合物的方式。我们研究了XCMS和MZMINE 2中EIC施工方法的差异,并在XCMS CentWave峰值检测算法中发现了几个问题,我们展示了对假阳性和假阴性复合识别的部分原因。此外,我们发现MZMine 2的使用者占据了一厘翁。我们希望对XCMS和MZMine 2算法的详细了解将允许用户更有效地与它们一起工作,并且还将有助于未来的算法开发。

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