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首页> 外文期刊>Research in Microbiology >Repeatability and reproducibility of ribotyping and its computer interpretation.
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Repeatability and reproducibility of ribotyping and its computer interpretation.

机译:核糖分型法的可重复性和可重复性及其计算机解释。

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摘要

Many molecular typing methods are difficult to interpret because their repeatability (within-laboratory variance) and reproducibility (between-laboratory variance) have not been thoroughly studied. In the present work, ribotyping of coryneform bacteria was the basis of a study involving within-gel and between-gel repeatability and between-laboratory reproducibility (two laboratories involved). The effect of different technical protocols, different algorithms, and different software for fragment size determination was studied. Analysis of variance (ANOVA) showed, within a laboratory, that there was no significant added variance between gels. However, between-laboratory variance was significantly higher than within-laboratory variance. This may be due to the use of different protocols. An experimental function was calculated to transform the data and make them compatible (i.e., erase the between-laboratory variance). The use of different interpolation algorithms (spline, Schaffer and Sederoff) was a significant source of variation in one laboratory only. The use of either Taxotron (Institut Pasteur) or GelCompar (Applied Maths) was not a significant source of added variation when the same algorithm (spline) was used. However, the use of Bio-Gene (Vilber Lourmat) dramatically increased the error (within laboratory, within gel) in one laboratory, while decreasing the error in the other laboratory; this might be due to automatic normalization attempts. These results were taken into account for building a database and performing automatic pattern identification using Taxotron. Conversion of the data considerably improved the identification of patterns irrespective of the laboratory in which the data were obtained.
机译:许多分子分型方法难以解释,因为尚未对它们的重复性(实验室内变异)和可重复性(实验室间变异)进行深入研究。在目前的工作中,棒状细菌的核糖分型是一项涉及凝胶内和凝胶间可重复性以及实验室间可重复性(涉及两个实验室)的研究的基础。研究了不同技术协议,不同算法和不同软件对片段大小确定的影响。方差分析(ANOVA)显示,在实验室内,凝胶之间没有显着增加的方差。但是,实验室之间的差异显着高于实验室内部的差异。这可能是由于使用了不同的协议。计算了一个实验函数来转换数据并使它们兼容(即消除实验室之间的差异)。仅在一个实验室中,使用不同的插值算法(样条曲线,Schaffer和Sederoff)才是重要的变化来源。当使用相同的算法(样条)时,使用Taxotron(巴斯德研究所)或GelCompar(应用数学)并不是增加变化的重要来源。但是,使用生物基因(Vilber Lourmat)在一个实验室中显着增加了误差(在实验室内,在凝胶内),同时降低了另一个实验室的误差。这可能是由于自动规范化尝试造成的。这些结果已被考虑在内,以建立数据库并使用Taxotron进行自动模式识别。数据的转换大大改善了模式的识别,而与获得数据的实验室无关。

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