Package: cageminer 1.18.0

Fabrício Almeida-Silva

cageminer: Candidate Gene Miner

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.

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

cageminer_1.18.0.tar.gz
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manual.pdf |manual.html
card.svg |card.png
cageminer/json (API)
NEWS

# Install 'cageminer' in R:
install.packages('cageminer', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/almeidasilvaf/cageminer/issues

Datasets:
  • chr_length - Pepper chromosome lengths
  • gcn - Simulation of the output list from BioNERO::exp2gcn() with pepper data
  • gene_ranges - Genomic coordinates of pepper genes
  • guides - Guide genes associated with defense and resistance to oomycetes
  • hubs - Example hub genes for the network stored in the gcn object
  • mine2 - Example output from mine_step2
  • mined_candidates - Example output from mined_candidates
  • pepper_se - Gene expression data from Kim et al., 2018.
  • snp_pos - Capsicum annuum SNPs associated with resistance to Phytophthora root rot.
  • tfs - Pepper transcription factors

On BioConductor:cageminer-1.19.0(bioc 3.24)cageminer-1.18.0(bioc 3.23)

softwaresnpfunctionalpredictiongenomewideassociationgeneexpressionnetworkenrichmentvariantannotationfunctionalgenomicsnetwork

4.48 score 1 stars 5 scripts 8 exports 181 dependencies

Last updated from:2f4c34c9c1 (on RELEASE_3_23). Checks:1 NOTE, 9 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksNOTE275
linux-devel-x86_64OK574
source / vignettesOK366
linux-release-x86_64OK503
macos-release-arm64OK308
macos-oldrel-arm64OK251
windows-develOK442
windows-releaseOK434
windows-oldrelOK460
wasm-releaseOK228

Exports:mine_candidatesmine_step1mine_step2mine_step3plot_snp_circosplot_snp_distributionscore_genessimulate_windows

Dependencies:abindannotateAnnotationDbiAnnotationFilteraskpassbackportsbase64encBHBiobaseBiocGenericsBiocIOBiocManagerBiocParallelBioNEROBiostringsbiovizBasebitbit64bitopsblobBSgenomebslibcachemcheckmatecigarillocirclizecliclueclustercodacodetoolscolorspacecommonmarkComplexHeatmapcpp11crayoncurldata.tableDBIDelayedArraydichromatdigestdoParalleldplyrdynamicTreeCutedgeRensembldbevaluatefarverfastclusterfastmapfontawesomeforeachforeignformatRFormulafsfutile.loggerfutile.optionsgenefiltergenericsGENIE3GenomeInfoDbGenomicAlignmentsGenomicFeaturesGenomicRangesGetoptLongggbioggdendroggnetworkggplot2ggrepelggtextGlobalOptionsgluegraphgridExtragridtextgtablehighrHmischtmlTablehtmltoolshtmlwidgetshttrigraphimputeinfotheointergraphIRangesisobanditeratorsjpegjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlatticelazyevallifecyclelimmalitedownlocfitmagrittrmarkdownMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeminetNetRepnetworknlmennetopensslOrganismDbipatchworkpillarpkgconfigplyrpngpreprocessCoreProtGenericsR6rappdirsRBGLRColorBrewerRcppRcppArmadilloRCurlreshape2restfulrRhpcBLASctlRhtslibrjsonrlangrmarkdownrpartRsamtoolsRSQLiterstudioapirtracklayerS4ArraysS4VectorsS7sassscalesSeqinfoshapesnasnowSparseArraystatmodstatnet.commonstringistringrSummarizedExperimentsurvivalsvasystibbletidyselecttinytexUCSC.utilsutf8VariantAnnotationvctrsviridisLiteWGCNAwithrxfunXMLxml2xtableXVectoryaml

Mining high-confidence candidate genes with cageminer

Rendered fromcageminer.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2022-09-21
Started: 2021-03-14