Epigenomics is the study of molecular signatures associated with discrete regions within genomes, many of which are important for a wide range of nuclear processes. The ability to profile the epigenomic landscape associated with genes, repetitive regions, transposons, transcription, differential expression, cis-regulatory elements, and 3D chromatin interactions has vastly improved our understanding of plant genomes. However, many epigenomic and single-cell genomic assays are challenging to perform in plants, leading to a wide range of data quality issues; thus, the data require rigorous evaluation prior to downstream analyses and interpretation. In this commentary, we provide considerations for the evaluation of plant epigenomics and single-cell genomics data quality with the aim of improving the quality and utility of studies using those data across diverse plant species.

中文翻译：

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植物表观基因组数据的质量控制和评估

表观基因组学是研究与基因组内离散区域相关的分子特征，其中许多对广泛的核过程很重要。分析与基因、重复区域、转座子、转录、差异表达、顺式调控元件和 3D 染色质相互作用相关的表观基因组景观的能力极大地提高了我们对植物基因组的理解。然而，许多表观基因组和单细胞基因组分析在植物中进行具有挑战性，导致广泛的数据质量问题；因此，数据需要在下游分析和解释之前进行严格评估。在这篇评论中，