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DNA微阵列实验中的质量控制与可重复性

Quality control and reproducibility in DNA microarray experiments.

作者信息

Fujita André, Sato João R, DA Silva Fernando H L, Galvão Maria C, Sogayar Mari C, Miyano Satoru

机构信息

Computational Science Research Program, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.

出版信息

Genome Inform. 2009 Oct;23(1):21-31.

Abstract

Biological experiments are usually set up in technical replicates (duplicates or triplicates) in order to ensure reproducibility and, to assess any significant error introduced during the experimental process. The first step in biological data analysis is to check the technical replicates and to confirm that the error of measure is small enough to be of no concern. However, little attention has been paid to this part of analysis. Here, we propose a general process to estimate the error of measure and consequently, to provide an interpretable and objective way to ensure the technical replicates' quality. Particularly, we illustrate our application in a DNA microarray dataset set up in technical duplicates.

摘要

生物学实验通常设置技术重复(双份或三份),以确保可重复性,并评估实验过程中引入的任何显著误差。生物学数据分析的第一步是检查技术重复,并确认测量误差足够小,可以忽略不计。然而,这部分分析很少受到关注。在这里,我们提出了一个估计测量误差的通用过程,从而提供一种可解释且客观的方法来确保技术重复的质量。特别是,我们在一个设置了技术双份的DNA微阵列数据集中展示了我们的应用。

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