Registration and Call for Abstracts Open for Bioc2024

cageminer

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

Candidate Gene Miner


Bioconductor version: Development (3.19)

This package aims to integrate GWAS-derived SNPs and coexpression networks to mine candidate genes associated with a particular phenotype. For that, users must define a set of guide genes, which are known genes involved in the studied phenotype. Additionally, the mined candidates can be given a score that favor candidates that are hubs and/or transcription factors. The scores can then be used to rank and select the top n most promising genes for downstream experiments.

Author: Fabrício Almeida-Silva [aut, cre] , Thiago Venancio [aut]

Maintainer: Fabrício Almeida-Silva <fabricio_almeidasilva at hotmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("cageminer")

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

Documentation

Reference Manual PDF

Details

biocViews FunctionalGenomics, FunctionalPrediction, GeneExpression, GenomeWideAssociation, Network, NetworkEnrichment, SNP, Software, VariantAnnotation
Version 1.9.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License GPL-3
Depends R (>= 4.1)
Imports ggplot2, rlang, ggbio, ggtext, GenomeInfoDb, GenomicRanges, IRanges, reshape2, methods, BioNERO
System Requirements
URL https://github.com/almeidasilvaf/cageminer
Bug Reports https://support.bioconductor.org/t/cageminer
See More
Suggests testthat (>= 3.0.0), SummarizedExperiment, knitr, BiocStyle, rmarkdown, covr, sessioninfo
Linking To
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
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/cageminer
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cageminer
Package Short Url https://bioconductor.org/packages/cageminer/
Package Downloads Report Download Stats