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GPlinksR

Building Gene-Peak Network for ATAC-RNA Integration

Bioconductor version: 3.24 · Package version: 0.99.2

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.

Installation

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

BiocManager::install("GPlinksR")

Details

MaintainerXinran Wang <xwang210@usc.edu>
AuthorXinran Wang [aut, cre] (ORCID: <https://orcid.org/0009-0000-1805-3280>), Kelly Street [ctb], Huaiyu Mi [ctb], Bryan Queme [ctb]
LicenseMIT + file LICENSE
URLhttps://github.com/Corawang123/GPlinksR
Bug Reportshttps://github.com/Corawang123/GPlinksR/issues
Downloads rank29
Source branchdevel
biocViewsGeneExpression, Network, Sequencing, Software, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageGPlinksR_0.99.2.tar.gz
Windows binary (x86_64)GPlinksR_0.99.2.zip
macOS binary (arm64)GPlinksR_0.99.2.tgz
macOS binary (x86_64)GPlinksR_0.99.2.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: BiocFileCache, data.table, GenomicRanges, GenomeInfoDb, IRanges, methods, MultiAssayExperiment, S4Vectors, EnsDb.Hsapiens.v86, ensembldb, biomaRt, dplyr, SingleCellExperiment, SummarizedExperiment

Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)