ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization
By Guangchuang Yu, Li-Gen Wang, Qing‐Yu He. Bioinform., 2015
3,631 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/a0981aa771c866347e6af83a817651e206b7c89a
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Citations in the corpus
- Using clusterProfiler to characterize multiomics data (2024, positive): “By integrating our developed packages such as ReactomePA 17 , meshes 18 , DOSE 19 , GOSemSim 20 and ChIPseeker 21,22 into the framework of clusterProfiler, we have extended the software’s capability to conduct detailed analyses across multiple dimensions, offering insights into biological…”
- clusterProfiler 4.0: A universal enrichment tool for interpreting omics data (2021, methodology): “Our in-house developed package, ChIPseeker, 10 is originally designed for chromatin immunoprecipitation (ChIP) peak annotation, comparison, and visualization and has been employed to analyze genome-wide ROIs, such as open chromatin regions obtained by DNase-seq 32 and ATAC-seq.”
- MIR sequences recruit zinc finger protein ZNF768 to expressed genes (2018, methodology): “Annotation of peaks relative to gene features was performed using the ChipSeeker package in R (40).”
- Missense variants causing Wiedemann-Steiner syndrome preferentially occur in the KMT2A-CXXC domain and are accurately classified using AlphaFold2 (2022, neutral): “251 Differential peaks obtained in DiffBind were given genomic annotations and converted to 252 GRanges objects using the ChIPseeker package in R [25].”