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cageminer

This is the released version of cageminer; for the devel version, see cageminer.

Candidate Gene Miner


Bioconductor version: Release (3.23)

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] ORCID iD ORCID: 0000-0002-5314-2964 , Thiago Venancio [aut] ORCID iD ORCID: 0000-0002-2215-8082

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

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

BiocManager::install("cageminer")

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("cageminer")
Mining high-confidence candidate genes with cageminer HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews FunctionalGenomics, FunctionalPrediction, GeneExpression, GenomeWideAssociation, Network, NetworkEnrichment, SNP, Software, VariantAnnotation
Version 1.18.0
In Bioconductor since BioC 3.14 (R-4.1) (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
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Build Report Build Report

Package Archives

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

Source Package cageminer_1.18.0.tar.gz
Windows Binary (x86_64) cageminer_1.18.0.zip
macOS Binary (big-sur-x86_64) cageminer_1.18.0.tgz
macOS Binary (sonoma-arm64) cageminer_1.18.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cageminer
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cageminer
Bioc Package Browser https://code.bioconductor.org/browse/cageminer/
Package Short Url https://bioconductor.org/packages/cageminer/
Package Downloads Report Download Stats