2015
DOI: 10.1093/bioinformatics/btv145
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ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization

Abstract: ChIPseeker is released under Artistic-2.0 License. The source code and documents are freely available through Bioconductor (http://www.bioconductor.org/packages/release/bioc/html/ChIPseeker.html).

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Cited by 2,949 publications
(2,265 citation statements)
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References 11 publications
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“…MORC3 ChIPseq peaks were identified with MACS version 2.1.0 (34). Defined MORC3 peaks were then annotated to the mm9 genome with the ChIPseeker R package (35). For H3K4me1 (GSM769009), H3K9me3 (GSM1000147), H3K27me3 (GSM1000089), H3K27ac (GSM1000099), H3K4me3 (GSM769008), H3K9ac (GSM1000127), p300(GSM918750), and RNA polymerase II (GSM723019) ChIPseq, data raw sequencing data were downloaded from ENCODE and processed as described above.…”
Section: Methodsmentioning
confidence: 99%
“…MORC3 ChIPseq peaks were identified with MACS version 2.1.0 (34). Defined MORC3 peaks were then annotated to the mm9 genome with the ChIPseeker R package (35). For H3K4me1 (GSM769009), H3K9me3 (GSM1000147), H3K27me3 (GSM1000089), H3K27ac (GSM1000099), H3K4me3 (GSM769008), H3K9ac (GSM1000127), p300(GSM918750), and RNA polymerase II (GSM723019) ChIPseq, data raw sequencing data were downloaded from ENCODE and processed as described above.…”
Section: Methodsmentioning
confidence: 99%
“…Using an R implementation, the consistency of replicated sample peaks was assessed with the Irreproducible Discovery Rate algorithm (46). Differential binding analysis was performed using an R Bioconductor package DBChIP (47) and annotated using ChIPseeker (48). To facilitate comparisons with ChIP-seq data we hope to generate in the future using patient derived airway epithelial cells, only autosomal binding regions were used to define differential binding and subsequent analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The R/Bioconductor package ChIPseeker (v1.13.1) (YU et al 2015) was used to first annotate the QTL locations to the nearest annotated gene in the UCSC R/Bioconductor package TxDb.Mmusculus.UCSC.mm10.knownGene (v3.4.0) (LAWRENCE et al 2013) using the function annotatePeak with options tssRegion = c(-1, 1), TxDb = TxDb.Mmusculus.UCSC.mm10.knownGene, annoDb = "org.Mm.eg.db", overlap = "all", and all other options set to default. Then, the syntenic regions in human (hg19) to each of the nearest QTL genes were mapped using the R/Bioconductor package biomaRt (v2.33.4) (DURINCK et al 2009).…”
Section: Identification Of Human Loci Syntenic To Mouse Qtl and Intementioning
confidence: 99%