Quality control and evaluation of plant epigenomics data.

Autor:	Schmitz RJ; Department of Genetics, University of Georgia, Athens, Georgia 30602, USA., Marand AP; Department of Genetics, University of Georgia, Athens, Georgia 30602, USA., Zhang X; Department of Genetics, University of Georgia, Athens, Georgia 30602, USA., Mosher RA; School of Plant Sciences, University of Arizona, Tucson, Arizona 85721, USA., Turck F; Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Köln, Germany., Chen X; Department of Botany and Plant Sciences, University of California, Riverside, California 92521, USA., Axtell MJ; Department of Biology and Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16801, USA., Zhong X; Wisconsin Institute for Discovery & Laboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin 53715, USA., Brady SM; Department of Plant Biology and Genome Center, University of California Davis, Davis, California 95616, USA., Megraw M; Department of Botany and Plant Pathology, Center for Quantitative Life Sciences, Oregon State University, Corvallis, Oregon 97331 USA., Meyers BC; Donald Danforth Plant Science Center, St Louis, Missouri 63132, USA.; Division of Plant Sciences, University of Missouri, Columbia, Missouri 65211, USA.
Jazyk:	angličtina
Zdroj:	The Plant cell [Plant Cell] 2022 Jan 20; Vol. 34 (1), pp. 503-513.
DOI:	10.1093/plcell/koab255
Abstrakt:	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. (© The Author(s) 2021. Published by Oxford University Press on behalf of American Society of Plant Biologists.)
Databáze:	MEDLINE
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