Package: tadar 1.5.1

Lachlan Baer

tadar: Transcriptome Analysis of Differential Allelic Representation

This package provides functions to standardise the analysis of Differential Allelic Representation (DAR). DAR compromises the integrity of Differential Expression analysis results as it can bias expression, influencing the classification of genes (or transcripts) as being differentially expressed. DAR analysis results in an easy-to-interpret value between 0 and 1 for each genetic feature of interest, where 0 represents identical allelic representation and 1 represents complete diversity. This metric can be used to identify features prone to false-positive calls in Differential Expression analysis, and can be leveraged with statistical methods to alleviate the impact of such artefacts on RNA-seq data.

Authors:Lachlan Baer [aut, cre], Stevie Pederson [aut]

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

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

Bug tracker:https://github.com/baerlachlan/tadar/issues

Datasets:
  • chr1_genes - Genomic feature example data
  • chr1_tt - Differential expression example data

On BioConductor:tadar-1.5.0(bioc 3.21)tadar-1.4.0(bioc 3.20)

sequencingrnaseqsnpgenomicvariationvariantannotationdifferentialexpression

4.95 score 1 stars 4 scripts 166 downloads 11 exports 146 dependencies

Last updated 25 days agofrom:b6360e4d17. Checks:5 OK, 1 FAILURE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winOKJan 28 2025
R-4.5-macOUTDATEDJan 27 2025
R-4.5-linuxOKJan 28 2025
R-4.4-winOKJan 28 2025
R-4.4-macOKJan 28 2025

Exports:assignFeatureDarcountAllelescountsToPropsdarfilterLociflipRangesmodPplotChrDarplotDarECDFreadGenotypesunphaseGT

Dependencies:abindAnnotationDbiAnnotationFilteraskpassbackportsbase64encBHBiobaseBiocFileCacheBiocGenericsBiocIOBiocParallelbiomaRtBiostringsbiovizBasebitbit64bitopsblobBSgenomebslibcachemcheckmatecliclustercodetoolscolorspacecpp11crayoncurldata.tableDBIdbplyrDelayedArraydeldirdichromatdigestdplyrensembldbevaluatefansifarverfastmapfilelockfontawesomeforeignformatRFormulafsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesggplot2gluegridExtragtableGvizhighrHmischmshtmlTablehtmltoolshtmlwidgetshttrhttr2interpIRangesisobandjpegjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlatticelatticeExtralazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmennetopensslpillarpkgconfigplogrpngprettyunitsprogressProtGenericspurrrR6rappdirsRColorBrewerRcppRcppEigenRCurlrestfulrRhtslibrjsonrlangrmarkdownrpartRsamtoolsRSQLiterstudioapirtracklayerS4ArraysS4VectorssassscalessnowSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselecttinytexUCSC.utilsutf8VariantAnnotationvctrsviridisviridisLitewithrxfunXMLxml2XVectoryaml

Differential Allelic Representation (DAR) analysis

Rendered fromdar.Rmdusingknitr::rmarkdownon Jan 28 2025.

Last update: 2025-01-25
Started: 2023-03-29

Readme and manuals

Help Manual

Help pageTopics
Assign DAR values to genomic featuresassignFeatureDar assignFeatureDar,GRangesList,GRanges-method
Genomic feature example datachr1_genes
Differential expression example datachr1_tt
Count alleles within each experimental groupcountAlleles countAlleles,GRanges,list-method
Convert allele counts to proportionscountsToProps countsToProps,GRangesList-method
Calculate Differential Allelic Representation (DAR)dar dar,GRangesList,matrix-method
Filter locifilterLoci filterLoci,GRangesList-method
Convert DAR origin ranges to DAR region ranges, or vice versaflipRanges flipRanges,GRangesList-method
DAR-moderated _p_-valuesmodP modP,numeric,numeric-method
Plot DAR across a chromosomeplotChrDar plotChrDar,GRanges-method
Plot the Empirical Cumulative Distribution Function of DARplotDarECDF plotDarECDF,GRanges-method
Read genotypes from a VCF filereadGenotypes readGenotypes,character-method readGenotypes,TabixFile-method
Unphase genotypesunphaseGT unphaseGT,data.frame-method unphaseGT,matrix-method