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
| Maintainer | FabrÃcio Almeida-Silva <fabricio_almeidasilva@hotmail.com> |
| Author | FabrÃcio Almeida-Silva [aut, cre] (ORCID: <https://orcid.org/0000-0002-5314-2964>), Thiago Venancio [aut] (ORCID: <https://orcid.org/0000-0002-2215-8082>) |
| License | GPL-3 |
| URL | https://github.com/almeidasilvaf/cageminer |
| Bug Reports | https://support.bioconductor.org/t/cageminer |
| Downloads rank | 256 |
| Source branch | RELEASE_3_23 |
| biocViews | FunctionalGenomics, FunctionalPrediction, GeneExpression, GenomeWideAssociation, Network, NetworkEnrichment, SNP, Software, VariantAnnotation |
Documentation
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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