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GPlinksR

This is the development version of GPlinksR; to use it, please install the devel version of Bioconductor.

Building Gene-Peak Network for ATAC-RNA Integration


Bioconductor version: Development (3.24)

GPlinksR constructs gene-peak regulatory networks for ATAC-RNA integration by combining enhancer-based, promoter-based, and proximity (closest-gene) mappings. The package accepts direct peak and gene vectors as well as container-based inputs through a wrapper for common Bioconductor object classes. Enhancer-gene links are obtained from the PEREGRINE enhancer-gene datasets provided by AnnoQ, while promoter and gene coordinates are retrieved from EnsDb.Hsapiens.v86.

Author: Xinran Wang [aut, cre] ORCID iD ORCID: 0009-0000-1805-3280 , Kelly Street [ctb], Huaiyu Mi [ctb], Bryan Queme [ctb]

Maintainer: Xinran Wang <xwang210 at usc.edu>

Citation (from within R, enter citation("GPlinksR")):
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("GPlinksR")

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("GPlinksR")
GPlinksR: Gene-Peak Links from Example Inputs HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews GeneExpression, Network, Sequencing, Software, Transcriptomics
Version 0.99.2
In Bioconductor since BioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.6.0)
Imports BiocFileCache, data.table, GenomicRanges, GenomeInfoDb, IRanges, methods, MultiAssayExperiment, S4Vectors, EnsDb.Hsapiens.v86, ensembldb, biomaRt, dplyr, SingleCellExperiment, SummarizedExperiment
System Requirements
URL https://github.com/Corawang123/GPlinksR
Bug Reports https://github.com/Corawang123/GPlinksR/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)
Linking To
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Depends On Me
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Package Archives

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

Source Package GPlinksR_0.99.2.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) GPlinksR_0.99.2.tgz
macOS Binary (sonoma-arm64) GPlinksR_0.99.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/GPlinksR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GPlinksR
Bioc Package Browser https://code.bioconductor.org/browse/GPlinksR/
Package Short Url https://bioconductor.org/packages/GPlinksR/
Package Downloads Report Download Stats