PolyAlign:一个多功能的LC-MS数据对齐工具,用于标记选择和自动使用。

International journal of proteomics Pub Date : 2011-01-01 Epub Date: 2011-04-19 DOI:10.1155/2011/450290
Heidi Vähämaa, Ville R Koskinen, Waltteri Hosia, Robert Moulder, Olli S Nevalainen, Riitta Lahesmaa, Tero Aittokallio, Jussi Salmi
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引用次数: 8

摘要

我们提出了一个多功能的用户友好的软件工具,PolyAlign,用于多个LC-MS信号图的校准,具有手动地标设置或自动校准的选项。选择其中一张光谱图像作为参考图,在手动设置地标后,程序使用多项式或埃尔米特变换对图像进行翘曲。该软件提供了自动寻找地标的选项。该软件包括一个非常快速的放大功能,在图像之间同步,这有利于检测相邻图像之间的对应关系。这样的交互式可视化过程使分析人员能够决定什么时候对齐是令人满意的,并纠正已知的不规范。我们证明,该软件在LC-MALDI数据对准方面提供了显著的改进,具有10-15个里程碑对,并且它也适用于校正电喷雾LC-MS数据。实际数据的结果表明,与MZmine相比,在峰对准方面有了实质性的改进,MZmine是最近评估中最好的分析包之一。PolyAlign软件是免费提供的,可以作为流行的MZmine软件的集成组件轻松访问,也可以作为一个更简单的独立Perl实现来预览数据和应用具有里程碑意义的有向多项式变换。
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PolyAlign: A Versatile LC-MS Data Alignment Tool for Landmark-Selected and -Automated Use.

We present a versatile user-friendly software tool, PolyAlign, for the alignment of multiple LC-MS signal maps with the option of manual landmark setting or automated alignment. One of the spectral images is selected as a reference map, and after manually setting the landmarks, the program warps the images using either polynomial or Hermite transformation. The software provides an option for automated landmark finding. The software includes a very fast zoom-in function synchronized between the images, which facilitate detecting correspondences between the adjacent images. Such an interactive visual process enables the analyst to decide when the alignment is satisfactory and to correct known irregularities. We demonstrate that the software provides significant improvements in the alignment of LC-MALDI data, with 10-15 landmark pairs, and it is also applicable to correcting electrospray LC-MS data. The results with practical data show substantial improvement in peak alignment compared to MZmine, which was among the best analysis packages in a recent assessment. The PolyAlign software is freely available and easily accessible as an integrated component of the popular MZmine software, and also as a simpler stand-alone Perl implementation to preview data and apply landmark directed polynomial transformation.

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