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cageminer

Candidate Gene Miner

Bioconductor version: 3.23 · Package version: 1.18.0

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.

Installation

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

BiocManager::install("cageminer")

Details

MaintainerFabrício Almeida-Silva <fabricio_almeidasilva@hotmail.com>
AuthorFabrício Almeida-Silva [aut, cre] (ORCID: <https://orcid.org/0000-0002-5314-2964>), Thiago Venancio [aut] (ORCID: <https://orcid.org/0000-0002-2215-8082>)
LicenseGPL-3
URLhttps://github.com/almeidasilvaf/cageminer
Bug Reportshttps://support.bioconductor.org/t/cageminer
Downloads rank256
Source branchRELEASE_3_23
biocViewsFunctionalGenomics, FunctionalPrediction, GeneExpression, GenomeWideAssociation, Network, NetworkEnrichment, SNP, Software, VariantAnnotation

Documentation

Download

Dependencies

Depends: R (>= 4.1)

Imports: ggplot2, rlang, ggbio, ggtext, GenomeInfoDb, GenomicRanges, IRanges, reshape2, methods, BioNERO

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