RANDOMIZE:数据随机化网络服务器。

Agaz H Wani, Don Armstrong, Jan Dahrendorff, Monica Uddin
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引用次数: 0

摘要

基于芯片的 Illumina Infinium MethylationEpic BeadChip(Epic 850k)已成为表观基因组宽脱氧核糖核酸(DNA)甲基化分析的有用标准工具。由于在电镀过程中对样本的处理不当,该技术的数据可能会受到批次效应的影响。批次效应是一个重要问题,可能导致虚假和不准确的结果,并降低检测真实生物差异的能力。要解决批次效应和其他技术假象,谨慎的研究设计至关重要,例如随机化样本,使样本均匀分布在造成批次效应的各种因素上。随机化有助于减少偏差的可能性和组间差异的影响。如果没有一个用户友好且高效的工具,随机化样本的过程可能是一项繁琐、容易出错且耗时的任务。我们介绍的 RANDOMIZE 是一款基于网络的应用程序,旨在对相关元数据进行随机化处理,以便在 DNA 甲基化微阵列中造成批次效应的典型因素(如行、芯片和平板)之间均匀分布样本。我们展示了该工具的高效、快速和易用性。该工具可在 https://coph-usf.shinyapps.io/RANDOMIZE/ 免费在线获取,可使用任何网络浏览器访问。该工具还提供样本数据和教程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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RANDOMIZE: A Web Server for Data Randomization.

The microarray-based Illumina Infinium MethylationEpic BeadChip (Epic 850k) has become a useful and standard tool for epigenome wide deoxyribonucleic acid (DNA) methylation profiling. Data from this technology may suffer from batch effects due to improper handling of the samples during the plating process. Batch effects are a significant issue and can give rise to spurious and inaccurate results and reduction in power to detect real biological differences. Careful study design, such as randomizing the samples to uniformly distribute the samples across the factors responsible for batch effects, is crucial to address batch effects and other technical artifacts. Randomization helps to reduce the likelihood of bias and impact of difference among groups. This process of randomizing the samples can be a tedious, error-prone, and time-consuming task without a user-friendly and efficient tool. We present RANDOMIZE, a web-based application designed to perform randomization of relevant metadata to evenly distribute samples across the factors typically responsible for batch effects in DNA methylation microarrays, such as rows, chips and plates. We demonstrate that the tool is efficient, fast and easy to use. The tool is freely available online at https://coph-usf.shinyapps.io/RANDOMIZE/ and can be accessed using any web browser. Sample data and tutorial is also available with the tool.

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