Package: MADSEQ 1.33.0

Yu Kong

MADSEQ: Mosaic Aneuploidy Detection and Quantification using Massive Parallel Sequencing Data

The MADSEQ package provides a group of hierarchical Bayeisan models for the detection of mosaic aneuploidy, the inference of the type of aneuploidy and also for the quantification of the fraction of aneuploid cells in the sample.

Authors:Yu Kong, Adam Auton, John Murray Greally

MADSEQ_1.33.0.tar.gz
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MADSEQ.pdf |MADSEQ.html
MADSEQ/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/ykong2/madseq/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:

On BioConductor:MADSEQ-1.33.0(bioc 3.21)MADSEQ-1.32.0(bioc 3.20)

genomicvariationsomaticmutationvariantdetectionbayesiancopynumbervariationsequencingcoveragejagscpp

3.60 score 4 stars 1 scripts 189 downloads 10 exports 99 dependencies

Last updated 2 months agofrom:4a2b4e337c. Checks:ERROR: 2 WARNING: 5. Indexed: yes.

TargetResultDate
Doc / VignettesFAILDec 19 2024
R-4.5-winWARNINGDec 19 2024
R-4.5-linuxERRORDec 19 2024
R-4.4-winWARNINGDec 19 2024
R-4.4-macWARNINGDec 19 2024
R-4.3-winWARNINGDec 19 2024
R-4.3-macWARNINGDec 19 2024

Exports:deltaBICnormalizeCoverageplotFractionplotMadSeqplotMixtureposteriorprepareCoverageGCprepareHeterorunMadSeqsummary

Dependencies:abindAnnotationDbiapeaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobBSgenomeBSgenome.Hsapiens.UCSC.hg19cachemcliclustercodacodetoolscpp11crayoncurlDBIDelayedArraydigestdplyrfansifastmapformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisememusemgcvmimenlmeopensslpermutepillarpinfsc50pkgconfigplogrpngpreprocessCoreR6RcppRCurlrestfulrRhtslibrjagsrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowSparseArraystringistringrSummarizedExperimentsystibbletidyselectUCSC.utilsutf8VariantAnnotationvcfRvctrsveganVGAMviridisLitewithrXMLXVectoryamlzlibbioc