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R3CPET

This is the development version of R3CPET; for the stable release version, see R3CPET.

3CPET: Finding Co-factor Complexes in Chia-PET experiment using a Hierarchical Dirichlet Process


Bioconductor version: Development (3.24)

The package provides a method to infer the set of proteins that are more probably to work together to maintain chormatin interaction given a ChIA-PET experiment results.

Author: Djekidel MN, Yang Chen et al.

Maintainer: Mohamed Nadhir Djekidel <djek.nad at gmail.com>

Citation (from within R, enter citation("R3CPET")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("R3CPET")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("R3CPET")
3CPET: Finding Co-factor Complexes maintaining Chia-PET interactions PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Bayesian, GeneExpression, GenePrediction, GraphAndNetwork, HiC, Network, NetworkInference, Software
Version 1.45.1
In Bioconductor since BioC 3.1 (R-3.2) (11.5 years)
License GPL (>=2)
Depends R (>= 3.2), Rcpp (>= 0.10.4), methods
Imports methods, parallel, ggplot2, pheatmap, clValid, igraph, data.table, reshape2, Hmisc, RCurl, BiocGenerics, S4Vectors, IRanges(>= 2.13.12), GenomeInfoDb, GenomicRanges(>= 1.31.8), ggbio
System Requirements
URL
Bug Reports https://github.com/sirusb/R3CPET/issues
See More
Suggests BiocStyle, knitr, TxDb.Hsapiens.UCSC.hg19.knownGene, biovizBase, biomaRt, AnnotationDbi, org.Hs.eg.db, shiny, ChIPpeakAnno
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package R3CPET_1.45.1.tar.gz
Windows Binary (x86_64) R3CPET_1.45.1.zip
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/R3CPET
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/R3CPET
Bioc Package Browser https://code.bioconductor.org/browse/R3CPET/
Package Short Url https://bioconductor.org/packages/R3CPET/
Package Downloads Report Download Stats