Package: UPDhmm 1.3.0
Marta Sevilla
UPDhmm: Detecting Uniparental Disomy through NGS trio data
Uniparental disomy (UPD) is a genetic condition where an individual inherits both copies of a chromosome or part of it from one parent, rather than one copy from each parent. This package contains a HMM for detecting UPDs through HTS (High Throughput Sequencing) data from trio assays. By analyzing the genotypes in the trio, the model infers a hidden state (normal, father isodisomy, mother isodisomy, father heterodisomy and mother heterodisomy).
Authors:
UPDhmm_1.3.0.tar.gz
UPDhmm_1.3.0.zip(r-4.5)UPDhmm_1.3.0.zip(r-4.4)UPDhmm_1.3.0.zip(r-4.3)
UPDhmm_1.3.0.tgz(r-4.4-any)UPDhmm_1.3.0.tgz(r-4.3-any)
UPDhmm_1.3.0.tar.gz(r-4.5-noble)UPDhmm_1.3.0.tar.gz(r-4.4-noble)
UPDhmm_1.3.0.tgz(r-4.4-emscripten)UPDhmm_1.3.0.tgz(r-4.3-emscripten)
UPDhmm.pdf |UPDhmm.html✨
UPDhmm/json (API)
NEWS
# Install 'UPDhmm' in R: |
install.packages('UPDhmm', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/martasevilla/updhmm/issues
- hmm - HMM data for predicting UPD events in trio genomic data
On BioConductor:UPDhmm-1.3.0(bioc 3.21)UPDhmm-1.2.0(bioc 3.20)
softwarehiddenmarkovmodelgenetics
Last updated 1 months agofrom:025c593913. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 30 2024 |
R-4.5-win | NOTE | Nov 30 2024 |
R-4.5-linux | NOTE | Nov 30 2024 |
R-4.4-win | NOTE | Nov 30 2024 |
R-4.4-mac | NOTE | Nov 30 2024 |
R-4.3-win | OK | Nov 30 2024 |
R-4.3-mac | OK | Nov 30 2024 |
Exports:calculateEventsvcfCheck
Dependencies:abindAnnotationDbiaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemclicodetoolscpp11crayoncurlDBIDelayedArrayfastmapformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesglueHMMhttrIRangesjsonliteKEGGRESTlambda.rlatticelifecycleMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpkgconfigplogrpngR6RCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowSparseArraySummarizedExperimentsysUCSC.utilsVariantAnnotationvctrsXMLXVectoryamlzlibbioc