Package: tLOH 1.15.0

Michelle Webb

tLOH: Assessment of evidence for LOH in spatial transcriptomics pre-processed data using Bayes factor calculations

tLOH, or transcriptomicsLOH, assesses evidence for loss of heterozygosity (LOH) in pre-processed spatial transcriptomics data. This tool requires spatial transcriptomics cluster and allele count information at likely heterozygous single-nucleotide polymorphism (SNP) positions in VCF format. Bayes factors are calculated at each SNP to determine likelihood of potential loss of heterozygosity event. Two plotting functions are included to visualize allele fraction and aggregated Bayes factor per chromosome. Data generated with the 10X Genomics Visium Spatial Gene Expression platform must be pre-processed to obtain an individual sample VCF with columns for each cluster. Required fields are allele depth (AD) with counts for reference/alternative alleles and read depth (DP).

Authors:Michelle Webb [cre, aut], David Craig [aut]

tLOH_1.15.0.tar.gz
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tLOH.pdf |tLOH.html
tLOH/json (API)

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

Peer review:

Bug tracker:https://github.com/uscdtg/tloh/issues

Datasets:
  • humanGBMsampleAC - Imported dataset of a human glioblastoma spatial transcriptomics sample processed with tLOHImportData.
  • initialStartProbabilities - Imported dataset of sample start probabilities for hiddenMarkovAnalysis

On BioConductor:tLOH-1.15.0(bioc 3.21)tLOH-1.14.0(bioc 3.20)

copynumbervariationtranscriptionsnpgeneexpressiontranscriptomics

4.48 score 3 stars 4 scripts 134 downloads 23 exports 155 dependencies

Last updated 24 days agofrom:fba6f99732. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winNOTENov 22 2024
R-4.5-linuxNOTENov 22 2024
R-4.4-winNOTENov 22 2024
R-4.4-macNOTENov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:aggregateCHRPlotalleleFrequencyPlotdocumentErrorRegionshiddenMarkovAnalysismarginalLikelihoodM1marginalLikelihoodM2marginalM1CalcmarginalM2CalcBHETmarginalM2CalcBLOHmodePeakCalcprepareHMMdataframesregionAnalysisregionFinalizeremoveOutlierFromCalcrunHMM_1runHMM_2runHMM_3splitByChromosomesummarizeRegions1summarizeRegions2tLOHCalctLOHCalcUpdatetLOHDataImport

Dependencies:abindAnnotationDbiaskpassbestNormalizeBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobBSgenomebutchercachemclassclicliprclockcodetoolscolorspacecpp11crayoncurldata.tableDBIDelayedArraydepmixS4diagramdigestdoParalleldoRNGdplyrfansifarverfastmapforcatsforeachformatRfutile.loggerfutile.optionsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesggplot2globalsgluegowergridExtragtablehardhathmshttripredIRangesisobanditeratorsjsonliteKEGGRESTKernSmoothlabelinglambda.rLambertWlamWlatticelavalifecyclelistenvlobstrlubridatemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnaniarnlmennetnormnortestnumDerivopensslparallellypillarpkgconfigplogrplyrpngprettyunitsprodlimprogressprogressrpurrrR6RColorBrewerRcppRcppParallelRCurlreadrrecipesreshape2restfulrRhtslibrjsonrlangrngtoolsrpartRsamtoolsRsolnpRSQLitertracklayerS4ArraysS4VectorsscalesshapesnowSparseArraySQUAREMstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttimechangetimeDatetruncnormtzdbUCSC.utilsUpSetRutf8VariantAnnotationvctrsviridisviridisLitevisdatvroomwithrXMLXVectoryamlzlibbioc

tLOH

Rendered fromtLOH_vignette.Rmdusingknitr::rmarkdownon Nov 22 2024.

Last update: 2022-10-18
Started: 2021-05-03