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.
Package details |
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Bioconductor views | FunctionalGenomics FunctionalPrediction GeneExpression GenomeWideAssociation Network NetworkEnrichment SNP Software VariantAnnotation |
Maintainer | |
License | GPL-3 |
Version | 1.7.2 |
URL | https://github.com/almeidasilvaf/cageminer |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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