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一种用于模拟十二烷基硫酸钠二维聚丙烯酰胺凝胶电泳数据集的新算法。

A new algorithm for the simulation of sodium dodecil sulfate two-dimensional polyacrylamide gel electrophoresis data sets.

机构信息

Department of Environmental and Life Sciences, University of Eastern Piedmont, Viale Teresa Michel 11, Alessandria, Italy.

出版信息

J Proteome Res. 2010 Apr 5;9(4):1864-72. doi: 10.1021/pr901014n.

Abstract

A new algorithm for generating simulated sodium dodecil sulfate two-dimensional polyacrylamide gel electrophoresis (SDS 2D-PAGE) map images was developed. To choose the simulation strategy able to provide realistic 2D-PAGE maps, several parameters that characterize the statistical features of the images and data sets of images were taken into account, such as the distribution of size, intensity, and volume of the spots and their changes of position and volume along different replications of the same 2D-PAGE map. In this way, also the low reproducibility of replications of the same SDS 2D-PAGE maps was taken into account. The present algorithm can be usefully employed for the development of new classification and/or image analysis algorithms applied to bidimensional electrophoretic data sets, given the usually small number of experimental replications available.

摘要

开发了一种新的用于生成模拟十二烷基硫酸钠二维聚丙烯酰胺凝胶电泳(SDS 2D-PAGE)图谱图像的算法。为了选择能够提供真实 2D-PAGE 图谱的模拟策略,考虑了几个特征化图像和图像数据集的统计特征的参数,例如斑点的大小、强度和体积分布,以及它们在同一 2D-PAGE 图谱的不同重复中的位置和体积变化。这样,还考虑了同一 SDS 2D-PAGE 图谱重复的低可重复性。鉴于通常可用的实验重复次数较少,本算法可用于开发新的分类和/或图像分析算法,应用于二维电泳数据集。

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