Exploring Epigenomic Datasets by ChIPseeker
Abstract
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
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Chromosome 21 is one of five human acrocentric chromosomes (13, 14, 15, 21, and 22) that exhibit high sequence conservation and are characterized by an abundance of repetitive elements within their short arms.
“Chromosome 21 is one of five human acrocentric chromosomes (13, 14, 15, 21, and 22) that exhibit high sequence conservation and are characterized by an abundance of repetitive elements within their short arms (99, 100).”
From Molecular and cellular processes disrupted in the early postnatal Down syndrome prefrontal cortex (2026) · cites this paper as [100]
Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
The molecular hallmarks of epigenetic control
Allis, C. D., & Jenuwein, T. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.59 · Cited by 2,809 · see citing works
Chromatin accessibility and the regulatory epigenome
Klemm, S. L., Shipony, Z., & Greenleaf, W. J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-018-0089-8 · Cited by 1,793 · see citing works
Chromatin architecture reorganization during stem cell differentiation
Dixon, J. R., Jung, I., Selvaraj, S., Shen, Y., Antosiewicz-Bourget, J. E., Lee, A. Y., Ye, Z., Kim, A., Rajagopal, N., Xie, W., et al. (2015) · Nature · doi:10.1038/nature14222 · Cited by 1,646 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
HIF regulates multiple translated endogenous retroviruses: Implications for cancer immunotherapy
Jiang, Q., Braun, D. A., Clauser, K. R., Ramesh, V., Shirole, N. H., Duke-Cohan, J. E., Nabilsi, N., Kramer, N. J., Forman, C., Lippincott, I. E., et al. (2025) · Cell · doi:10.1016/j.cell.2025.01.046 · Cited by 68 · see citing works
Molecular and cellular processes disrupted in the early postnatal Down syndrome prefrontal cortex
Risgaard, R. D., Hanthanan Arachchilage, K., Knaack, S. A., Hosseini, M., Chen, R. J., Kumarage, P., Schmidt, D. K., Huang, X., Sheng, J., Wang, C. J., et al. (2026) · Science · doi:10.1126/science.aea1549 · Cited by 12 · see citing works
- Authors
- Wang, Q., Li, M., Wu, T., Zhan, L., Li, L., Chen, M., Xie, W., Xie, Z., Hu, E., Xu, S., & Yu, G.
- Affiliations
- Southern Medical University (CN)
- Corresponding author
- Yu, Guangchuang
- ORCID
- Venue
- Current Protocols
- Publisher
- Wiley
- Published
- 2022-10
- Volume
- 2
- Issue
- 10
- Pages
- e585-e585
- ISSN
- 2691-1299 (ISSN-L)
- OpenAlex
- W4307501395
- Cited by
- 415
- References
- 4
- Citations by year
- 2026: 121 · 2025: 153 · 2024: 104 · 2023: 34 · 2022: 2 · 2019: 1
- FWCI
- 25.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Protocols (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (32270677)
- Southern Medical University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- Bioconductor package, genome-wide distribution, heatmaps, open-source bioinformatics software
- MeSH terms
- Software, Genome, Computational Biology, Epigenomics, High-Throughput Nucleotide Sequencing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review