StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry
StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry
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DOI：
10.1093/bioinformatics/btp181
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发表时间：
2009-06-01
期刊：
影响因子：
5.8
通讯作者：
Heck, Albert J. R.
中科院分区：
文献类型：
--
作者：
van Breukelen, Bas;van den Toorn, Henk W. P.;Heck, Albert J. R.
动机：质谱蛋白质定量已经成为一种高通量的工具，产生大量的肽和蛋白质丰度的数据。目前，可以通过几种可用的自动定量软件包从肽强度比计算差异丰度数据。然而，仍然非常需要额外的处理来验证和重新验证。确定定量结果。在这里，我们提出了一个软件工具，称为StatQuant，它提供了一套统计工具来处理，过滤，比较和代表数据从几个定量蛋白质组学软件包，如MSQuant。StatQuant为研究人员提供了后处理方法，以提高对所获得蛋白质比率的信心。
Motivation: Mass spectrometric protein quantitation has emerged as a high-throughput tool to yield large amounts of data on peptide and protein abundances. Currently, differential abundance data can be calculated from peptide intensity ratios by several automated quantitation software packages available. There is, however, still a great need for additional processing to validate and re. ne the quantitation results. Here, we present a software tool, termed StatQuant, that offers a set of statistical tools to process, filter, compare and represent data from several quantitative proteomics software packages such as MSQuant. StatQuant offers the researcher post-processing methods to achieve improved confidence on the obtained protein ratios.