Package: TitanCNA 1.45.0

Gavin Ha

TitanCNA: Subclonal copy number and LOH prediction from whole genome sequencing of tumours

Hidden Markov model to segment and predict regions of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH), and estimate cellular prevalence of clonal clusters in tumour whole genome sequencing data.

Authors:Gavin Ha

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TitanCNA.pdf |TitanCNA.html
TitanCNA/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/gavinha/titancna/issues

Datasets:
  • convergeParams - TITAN EM trained results for an example dataset
  • data - TITAN EM trained results for an example dataset

On BioConductor:TitanCNA-1.45.0(bioc 3.21)TitanCNA-1.44.0(bioc 3.20)

sequencingwholegenomednaseqexomeseqstatisticalmethodcopynumbervariationhiddenmarkovmodelgeneticsgenomicvariationimmunooncology10x-genomicscopy-number-variationgenome-sequencinghmmtumor-heterogeneity

8.45 score 94 stars 67 scripts 254 downloads 5 mentions 25 exports 82 dependencies

Last updated 23 days agofrom:19f37d42da. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-win-x86_64WARNINGNov 19 2024
R-4.5-linux-x86_64WARNINGNov 19 2024
R-4.4-win-x86_64WARNINGNov 19 2024
R-4.4-mac-x86_64WARNINGNov 19 2024
R-4.4-mac-aarch64WARNINGNov 19 2024
R-4.3-win-x86_64WARNINGNov 19 2024
R-4.3-mac-x86_64WARNINGNov 19 2024
R-4.3-mac-aarch64WARNINGNov 19 2024

Exports:computeSDbwIndexcorrectIntegerCNcorrectReadDepthfilterDatagetHaplotypesFromVCFgetPositionOverlaploadAlleleCountsloadBXcountsFromBEDDirloadDefaultParametersloadHaplotypeAlleleCountsoutputModelParametersoutputTitanResultsoutputTitanSegmentsplotAllelicRatioplotClonalFrequencyplotCNlogRByChrplotHaplotypeFractionplotIdiogram.hg38plotSegmentMediansplotSubcloneProfilesrunEMclonalCNsetGenomeStyleviterbiClonalCNwigToGRangeswigToRangedData

Dependencies:abindAnnotationDbiaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemclicodetoolscpp11crayoncurldata.tableDBIDelayedArraydplyrfansifastmapforeachformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesgluehttrIRangesiteratorsjsonliteKEGGRESTlambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrpngR6RCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowSparseArraySummarizedExperimentsystibbletidyselectUCSC.utilsutf8VariantAnnotationvctrswithrXMLXVectoryamlzlibbioc

TitanCNA

Rendered fromTitanCNA.Rnwusingutils::Sweaveon Nov 19 2024.

Last update: 2019-05-30
Started: 2015-01-21

Readme and manuals

Help Manual

Help pageTopics
TITAN: Subclonal copy number and LOH prediction whole genome sequencing of tumoursTitanCNA-package TitanCNA
Compute the S_Dbw Validity Index for 'TitanCNA' model selectioncomputeSDbwIndex
Compute purity and ploidy corrected log ratios; recompute integer CN for high-level amplifications.correctIntegerCN
Correct GC content and mappability biases in sequencing data read countscorrectReadDepth
Filter list object based on read depth and missing data and returns a filtered data.table object.filterData
Function to assign values to given chromosome-position that overlaps a list of chromosomal segmentsgetPositionOverlap
Function to load tumour allele counts from a text file or data.frame and returns a data.table ('loadHaplotypeAlleleCounts'). Function to load phased heterozygous sites from a VCF file ('getHaplotypesFromVCF')getHaplotypesFromVCF loadBXcountsFromBEDDir loadHaplotypeAlleleCounts
Function to load tumour allele counts from a text file or data.frame and returns a data.table.loadAlleleCounts setGenomeStyle
Load TITAN parametersloadDefaultParameters
Formatting and printing 'TitanCNA' results.outputModelParameters outputTitanResults outputTitanSegments
Plotting functions for 'TitanCNA' results.plotAllelicRatio plotClonalFrequency plotCNlogRByChr plotHaplotypeFraction plotSegmentMedians plotSubcloneProfiles
Function to run the Expectation Maximization Algorithm in 'TitanCNA'.runEMclonalCN
TITAN EM trained results for an example datasetconvergeParams data EMresults TitanCNA-dataset
Function to run the Viterbi algorithm for 'TitanCNA'.viterbiClonalCN
WIG Import Functions. wigToGRanges (new) and wigToRangedData (deprecated)wigToGRanges wigToRangedData