Quality control and evaluation of plant epigenomics data

Robert J. Schmitz, Alexandre P. Marand, Xuan Zhang, Rebecca A. Mosher, Franziska Turck, Xuemei Chen, Michael J. Axtell, Xuehua Zhong, Siobhan M. Brady, Molly Megraw, Blake C. Meyers

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


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.

Original languageEnglish
Pages (from-to)503-513
Number of pages11
JournalPlant Cell
Issue number1
StatePublished - Jan 2022


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