Exploring Epigenomic Datasets by ChIPseeker

In many aspects of life, epigenetics, or the altering of phenotype without changes in sequences, play an essential role in biological function. A vast number of epigenomic datasets are emerging as a result of the advent of next‐generation sequencing. Annotation, comparison, visualization, and interp...

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Veröffentlicht in:Current protocols 2022-10, Vol.2 (10), p.e585-n/a
Hauptverfasser: Wang, Qianwen, Li, Ming, Wu, Tianzhi, Zhan, Li, Li, Lin, Chen, Meijun, Xie, Wenqin, Xie, Zijing, Hu, Erqiang, Xu, Shuangbin, Yu, Guangchuang
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Sprache:eng
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Zusammenfassung:In many aspects of life, epigenetics, or the altering of phenotype without changes in sequences, play an essential role in biological function. A vast number of epigenomic datasets are emerging as a result of the advent of next‐generation sequencing. Annotation, comparison, visualization, and interpretation of epigenomic datasets remain key aspects of computational biology. ChIPseeker is a Bioconductor package for performing these analyses among variable epigenomic datasets. The fundamental functions of ChIPseeker, including data preparation, annotation, comparison, and visualization, are explained in this article. ChIPseeker is a freely available open‐source package that may be found at https://www.bioconductor.org/packages/ChIPseeker. © 2022 Wiley Periodicals LLC. Basic Protocol 1: ChIPseeker and epigenomic dataset preparation Basic Protocol 2: Annotation of epigenomic datasets Basic Protocol 3: Comparison of epigenomic datasets Basic Protocol 4: Visualization of annotated results Basic Protocol 5: Functional analysis of epigenomic datasets Basic Protocol 6: Genome‐wide and locus‐specific distribution of epigenomic datasets Basic Protocol 7: Heatmaps and metaplots of epigenomic datasets
ISSN:2691-1299
2691-1299
DOI:10.1002/cpz1.585