Package: roar 1.43.0

Elena Grassi

roar: Identify differential APA usage from RNA-seq alignments

Identify preferential usage of APA sites, comparing two biological conditions, starting from known alternative sites and alignments obtained from standard RNA-seq experiments.

Authors:Elena Grassi

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NEWS

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

Peer review:

Bug tracker:https://github.com/vodkatad/roar/issues

On BioConductor:roar-1.43.0(bioc 3.21)roar-1.42.0(bioc 3.20)

sequencinghighthroughputsequencingrnaseqtranscription

5.05 score 4 stars 14 scripts 301 downloads 2 mentions 14 exports 50 dependencies

Last updated 23 days agofrom:9a977ed952. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winWARNINGNov 14 2024
R-4.5-linuxWARNINGNov 14 2024
R-4.4-winWARNINGNov 14 2024
R-4.4-macWARNINGNov 14 2024
R-4.3-winWARNINGNov 14 2024
R-4.3-macWARNINGNov 14 2024

Exports:computePairedPvalscomputePvalscomputeRoarscountPrePostcountResultsfpkmResultspvalueCorrectFilterpvalueFilterRoarDatasetRoarDatasetFromFilesRoarDatasetMultipleAPARoarDatasetMultipleAPAFromFilesstandardFiltertotalResults

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopscodetoolscpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangeshttrIRangesjsonlitelambda.rlatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6RCurlrestfulrRhtslibrjsonRsamtoolsrtracklayerS4ArraysS4VectorssnowSparseArraySummarizedExperimentsysUCSC.utilsXMLXVectoryamlzlibbioc

Identify differential APA usage from RNA-seq alignments

Rendered fromroar.Rnwusingutils::Sweaveon Nov 14 2024.

Last update: 2017-11-27
Started: 2013-12-19

Readme and manuals

Help Manual

Help pageTopics
Identify differential APA usage from RNA-seq alignmentsroar-package roar
Private/inner/helper method to check the order of the invoked analysis methodscheckStep
Private/inner/helper method to combine pvalues of independent test with the Fisher methodcombineFisherMethod
Computes pvalues (Fisher test) on the read counts in this roar analysiscomputePairedPvals computePairedPvals, RoarDataset computePairedPvals, RoarDatasetMultipleAPA
Computes pvalues (Fisher test) on the read counts in this roar analysiscomputePvals computePvals, RoarDataset computePvals, RoarDatasetMultipleAPA
Computes m/M and roar valuescomputeRoars computeRoars, RoarDataset, numeric, numeric computeRoars, RoarDatasetMultipleAPA, numeric, numeric
Method to check how many cores are used by a roar analysis - right now not usefulcores
Counts reads falling over PRE/POST portions of the given transcriptscountPrePost countPrePost,RoarDataset,logical countPrePost,RoarDatasetMultipleAPA
Returns a dataframe with results of the analysis for a 'RoarDataset' object or a 'RoarDatasetMultipleAPA' objectcountResults countResults, RoarDataset countResults, RoarDatasetMultipleAPA
Returns a dataframe with results of the analysis for a 'RoarDataset' object or a 'RoarDatasetMultipleAPA' objectfpkmResults fpkmResults, RoarDataset fpkmResults, RoarDatasetMultipleAPA
Private/inner/helper method to perform Fisher testgetFisher
Private/inner/helper method to get average counts across samplesmeanAcrossAssays
Returns a dataframe with results of the analysis for a 'RoarDataset' object or a 'RoarDatasetMultipleAPA' objectpvalueCorrectFilter pvalueCorrectFilter, RoarDataset pvalueCorrectFilter, RoarDatasetMultipleAPA
Returns a dataframe with results of the analysis for a 'RoarDataset' object or a 'RoarDatasetMultipleAPA' objectpvalueFilter pvalueFilter, RoarDataset pvalueFilter, RoarDatasetMultipleAPA
Creates a 'RoarDataset' objectRoarDataset
Class '"RoarDataset"'computePairedPvals,RoarDataset,numeric,numeric-method computePvals,RoarDataset-method computeRoars,RoarDataset-method cores,RoarDataset-method countPrePost,RoarDataset,logical-method countPrePost,RoarDataset-method countResults,RoarDataset-method fpkmResults,RoarDataset-method pvalueCorrectFilter,RoarDataset,numeric,numeric,character-method pvalueFilter,RoarDataset,numeric,numeric-method RoarDataset-class standardFilter,RoarDataset,numeric-method totalResults,RoarDataset-method
Creates a 'RoarDataset' objectRoarDatasetFromFiles
Creates a 'RoarDatasetMultipleAPA' objectRoarDatasetMultipleAPA
Class '"RoarDatasetMultipleAPA"'computePairedPvals,RoarDatasetMultipleAPA,numeric,numeric-method computePvals,RoarDatasetMultipleAPA-method computeRoars,RoarDatasetMultipleAPA-method cores,RoarDatasetMultipleAPA-method countPrePost,RoarDatasetMultipleAPA,logical-method countPrePost,RoarDatasetMultipleAPA-method countResults,RoarDatasetMultipleAPA-method fpkmResults,RoarDatasetMultipleAPA-method pvalueCorrectFilter,RoarDatasetMultipleAPA,numeric,numeric,character-method pvalueFilter,RoarDatasetMultipleAPA,numeric,numeric-method RoarDatasetMultipleAPA-class standardFilter,RoarDatasetMultipleAPA,numeric-method totalResults,RoarDatasetMultipleAPA-method
Creates a 'RoarDatasetMultipleAPA' objectRoarDatasetMultipleAPAFromFiles
Returns a dataframe with results of the analysis for a 'RoarDataset' object or a 'RoarDatasetMultipleAPA' objectstandardFilter standardFilter, RoarDataset standardFilter, RoarDatasetMultipleAPA
Returns a dataframe with results of the analysis for a 'RoarDataset' or a 'RoarDatasetMultipleAPA' objecttotalResults totalResults, RoarDataset totalResults, RoarDatasetMultipleAPA