首页> 外文期刊>Journal of Bioinformatics and Computational Biology >AFFYGCQC: A WEB-BASED INTERFACE TO DETECT OUTLYING GENECHIPS WITH EXTREME STUDENTIZED DEVIATE TESTS
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AFFYGCQC: A WEB-BASED INTERFACE TO DETECT OUTLYING GENECHIPS WITH EXTREME STUDENTIZED DEVIATE TESTS

机译:AFFYGCQC:一种基于Web的接口,可通过极端强化的变形测试检测外部基因

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摘要

Affymetrix GeneChip oligonucleotide arrays are dedicated to analyzing gene expression differences across distinct experimental conditions. Data production for such arrays is an elaborate process with many potential sources of variability unrelated to biologically relevant gene expression variations. Therefore, rigorous data quality assessment is fundamental throughout the process for downstream biologically meaningful analyses. We have developed a program named AffyGCQC, which is the acronym for a bioinformatics tool designed to perform Affymetrix GeneChip Quality Control. This program implements a graphical representation of QC metrics recommended by Affymetrix for GeneChip oligonucleotide array technology. Most importantly, it performs extreme studentized deviate statistical tests for the set of arrays being compared in a given experiment, thus providing an objective measure for outlier detection. AffyGCQC has been designed as an easy-to-useWeb-based interface.
机译:Affymetrix GeneChip寡核苷酸阵列专用于分析不同实验条件下的基因表达差异。这种阵列的数据产生是一个复杂的过程,具有许多潜在的可变性来源,与生物学相关的基因表达变异无关。因此,严格的数据质量评估对于整个下游生物学意义上的分析至关重要。我们已经开发了一个名为AffyGCQC的程序,该程序是旨在执行Affymetrix基因芯片质量控制的生物信息学工具的缩写。该程序实现了Affymetrix针对GeneChip寡核苷酸阵列技术推荐的QC指标的图形表示。最重要的是,它针对给定实验中要比较的阵列执行极端学生化的偏差统计检验,从而为异常值检测提供了客观的度量。 AffyGCQC被设计为基于Web的易于使用的界面。

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