Reproducibility of Bioinformatics Tools

P. Baykal, N. Beerenwinkel, S. Mangul
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Abstract

We introduce a fast and scalable method to assess reproducibility of bioinformatics tools. We replace replicates which are cause of data variation by synthetic replicates. To assess reproducibility of bioinformatics tools, we run the tools with two different types of synthetic replicates and compare results obtained from the original data. Results show differences between output obtained from original data and synthetic replicates.
生物信息学工具的可重复性
我们介绍了一种快速和可扩展的方法来评估生物信息学工具的可重复性。我们用合成的重复来代替导致数据变化的重复。为了评估生物信息学工具的可重复性,我们在两种不同类型的合成重复中运行了这些工具,并比较了从原始数据中获得的结果。结果表明,原始数据与合成重复数据的输出结果存在差异。
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