Package: monaLisa 1.19.0
monaLisa: Binned Motif Enrichment Analysis and Visualization
Useful functions to work with sequence motifs in the analysis of genomics data. These include methods to annotate genomic regions or sequences with predicted motif hits and to identify motifs that drive observed changes in accessibility or expression. Functions to produce informative visualizations of the obtained results are also provided.
Authors:
monaLisa_1.19.0.tar.gz
monaLisa_1.19.0.zip(r-4.7)monaLisa_1.19.0.zip(r-4.6)monaLisa_1.19.0.zip(r-4.5)
monaLisa_1.19.0.tgz(r-4.6-any)monaLisa_1.19.0.tgz(r-4.5-any)
monaLisa_1.19.0.tar.gz(r-4.7-any)monaLisa_1.19.0.tar.gz(r-4.6-any)
monaLisa_1.19.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
monaLisa/json (API)
NEWS
| # Install 'monaLisa' in R: |
| install.packages('monaLisa', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fmicompbio/monalisa/issues
Pkgdown/docs site:https://fmicompbio.github.io
On BioConductor:monaLisa-1.19.0(bioc 3.24)monaLisa-1.18.0(bioc 3.23)
motifannotationvisualizationfeatureextractionepigenetics
Last updated from:dfdf4c3ef3. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 307 | ||
| linux-devel-x86_64 | OK | 574 | ||
| source / vignettes | OK | 513 | ||
| linux-release-x86_64 | OK | 560 | ||
| macos-release-arm64 | OK | 324 | ||
| macos-oldrel-arm64 | OK | 304 | ||
| windows-devel | OK | 561 | ||
| windows-release | OK | 569 | ||
| windows-oldrel | OK | 607 | ||
| wasm-release | OK | 254 |
Exports:annoSeqlogobincalcBinnedKmerEnrcalcBinnedMotifEnrHomercalcBinnedMotifEnrRdumpJasparfindHomerfindMotifHitsgetColsByBingetKmerFreqgetZeroBinhomerToPFMatrixListmotifKmerSimilaritymotifSimilarityparseHomerOutputplotBinDensityplotBinDiagnosticsplotBinHistplotBinScatterplotMotifHeatmapsplotSelectionProbplotStabilityPathsprepareHomerrandLassoStabSelsampleRandomRegionsseqLogoGrobsetZeroBin
Dependencies:abindaskpassBHBiobaseBiocBaseUtilsBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemcaToolscigarillocirclizecliclueclustercodetoolscolorspaceComplexHeatmapcpp11crayoncurlDBIDelayedArraydigestDirichletMultinomialdoParalleldplyrfarverfastmapforeachformatRfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicRangesGetoptLongggplot2glmnetGlobalOptionsgluegtablegtoolshttrIRangesisobanditeratorsjsonlitelabelinglambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigpngpurrrpwalignR6RColorBrewerRcppRcppEigenRCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorsS7scalesSeqinfoseqLogoshapesnowSparseArraystabsstringistringrSummarizedExperimentsurvivalsysTFBSToolsTFMPvaluetibbletidyrtidyselectutf8vctrsviridisLitewithrXMLXVectoryaml
monaLisa - MOtif aNAlysis with Lisa
Rendered frommonaLisa.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2025-03-24
Started: 2019-09-27
Regression Based Approach for Motif Selection
Rendered fromselecting_motifs_with_randLassoStabSel.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2025-03-24
Started: 2021-09-10
