DNA methylation microarrays are widely used in clinical epigenetics and are often processed using R packages such as ChAMP or RnBeads by trained bioinformaticians. However, looking at specific genes requires bespoke coding for which wet-lab biologists or clinicians are not trained. This leads to high demands on bioinformaticians, who may lack insight into the specific biological problem. To bridge this gap, we developed a tool for mapping and quantification of methylation differences at candidate genomic features of interest, without using coding.

中文翻译：

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CandiMeth：强大而简单的候选基因 DNA 甲基化可视化和量化。

DNA 甲基化微阵列广泛用于临床表观遗传学，通常由训练有素的生物信息学家使用 R 包（例如 ChAMP 或 RnBeads）进行处理。然而，查看特定基因需要定制编码，而湿实验室生物学家或临床医生没有接受过培训。这导致对生物信息学家的高要求，他们可能缺乏对特定生物学问题的洞察力。为了弥补这一差距，我们开发了一种工具，用于绘制和量化感兴趣的候选基因组特征的甲基化差异，而不使用编码。