This is the development version of chipenrich; for the stable release version, see chipenrich.
Gene Set Enrichment For ChIP-seq Peak DataBioconductor version: Development (3.22)
ChIP-Enrich and Poly-Enrich perform gene set enrichment testing using peaks called from a ChIP-seq experiment. The method empirically corrects for confounding factors such as the length of genes, and the mappability of the sequence surrounding genes.
Author: Ryan P. Welch [aut, cph], Chee Lee [aut], Raymond G. Cavalcante [aut], Kai Wang [cre], Chris Lee [aut], Laura J. Scott [ths], Maureen A. Sartor [ths]
Maintainer: Kai Wang <wangdaha at umich.edu>
Citation (from within R, entercitation("chipenrich")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("chipenrich")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("chipenrich")
Details biocViews ChIPSeq, Epigenetics, FunctionalGenomics, GeneSetEnrichment, HistoneModification, ImmunoOncology, Regression, Software Version 2.33.0 In Bioconductor since BioC 2.13 (R-3.0) (11.5 years) License GPL-3 Depends R (>= 3.4.0) Imports AnnotationDbi, BiocGenerics, chipenrich.data, GenomeInfoDb, GenomicRanges, grDevices, grid, IRanges, lattice, latticeExtra, MASS, methods, mgcv, org.Dm.eg.db, org.Dr.eg.db, org.Hs.eg.db, org.Mm.eg.db, org.Rn.eg.db, parallel, plyr, rms, rtracklayer, S4Vectors(>= 0.23.10), stats, stringr, utils System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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