Package: CNVMotif 0.1.0

CNVMotif: Explore, Analyze and Visualize Catalogs and Patterns of Copy Number Variation in Cancer Genomics

Provides functionality for exploring, analyzing and visualizing the copy number variation (CNV) motifs in cancer genomics.

Authors:Shixiang Wang [aut, cre]

CNVMotif_0.1.0.tar.gz
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CNVMotif_0.1.0.tgz(r-4.4-x86_64)CNVMotif_0.1.0.tgz(r-4.4-arm64)CNVMotif_0.1.0.tgz(r-4.3-x86_64)CNVMotif_0.1.0.tgz(r-4.3-arm64)
CNVMotif_0.1.0.tar.gz(r-4.5-noble)CNVMotif_0.1.0.tar.gz(r-4.4-noble)
CNVMotif_0.1.0.tgz(r-4.4-emscripten)
CNVMotif.pdf |CNVMotif.html✨
CNVMotif/json (API)

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

Peer review:

Bug tracker:https://github.com/shixiangwang/cnvmotif/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

sigminer

1.70 score 1 stars 3 scripts 13 exports 129 dependencies

Last updated 3 years agofrom:ad11585b11. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-win-x86_64NOTENov 19 2024
R-4.5-linux-x86_64NOTENov 19 2024
R-4.4-win-x86_64NOTENov 19 2024
R-4.4-mac-x86_64NOTENov 19 2024
R-4.4-mac-aarch64NOTENov 19 2024
R-4.3-win-x86_64NOTEOct 30 2024
R-4.3-mac-x86_64NOTENov 19 2024
R-4.3-mac-aarch64NOTENov 19 2024

Exports:%>%build_sub_matrixcluster_pamcluster_pam_estimatecluster_splitdo_msaextract_seqsgeom_logo2get_score_matrixggseqlogo2show_seq_logoshow_seq_shapetransform_seqs

Dependencies:abindaskpassbackportsbase64encBiocGenericsBiostringsbootbroombslibcachemcarcarDatacliclustercolorspacecorrplotcowplotcpp11crayoncrosstalkcurldata.tabledendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsGenomeInfoDbGenomeInfoDbDataggplot2ggpubrggrepelggsciggseqlogoggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrIRangesisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmsamultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplyrpolynompromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownrstatixS4Vectorssassscalesscatterplot3dSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisviridisLitewithrxfunXVectoryamlzlibbioc