Package: normr 1.31.0

Johannes Helmuth

normr: Normalization and difference calling in ChIP-seq data

Robust normalization and difference calling procedures for ChIP-seq and alike data. Read counts are modeled jointly as a binomial mixture model with a user-specified number of components. A fitted background estimate accounts for the effect of enrichment in certain regions and, therefore, represents an appropriate null hypothesis. This robust background is used to identify significantly enriched or depleted regions.

Authors:Johannes Helmuth [aut, cre], Ho-Ryun Chung [aut]

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NEWS

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

Peer review:

Bug tracker:https://github.com/your-highness/normr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On BioConductor:normr-1.31.0(bioc 3.20)normr-1.30.0(bioc 3.19)

bioconductor-package

18 exports 1.00 score 81 dependencies

Last updated 2 months agofrom:6240dd6f9e

Exports:countConfigPairedEndcountConfigSingleEnddiffRenrichRexportRgetClassesgetCountsgetEnrichmentgetFiltergetPosteriorsgetPvaluesgetQvaluesgetRangesplotprintregimeRshowsummary

Dependencies:abindaskpassbamsignalsBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopsclicodetoolscolorspacecpp11crayoncurlDelayedArrayfansifarverformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigplyrqvalueR6RColorBrewerRcppRCurlreshape2restfulrRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorsscalessnowSparseArraystringistringrSummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXMLXVectoryamlzlibbioc

Introduction to the normR package

Rendered fromnormr.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2020-04-14
Started: 2016-07-12

Readme and manuals

Help Manual

Help pageTopics
Difference Calling between conditional ChIP-seq data in normR with diffRdifferenceCall DifferenceCalling diffR diffr diffR,character,character,character-method diffR,character,character,data.frame-method diffR,character,character,GenomicRanges-method diffR,integer,integer,GenomicRanges-method diffR-generic
Enrichment Calling on ChIP-seq data in normR with enrichRenrichmentCall EnrichmentCalling enrichR enrichr enrichR,character,character,character-method enrichR,character,character,data.frame-method enrichR,character,character,GenomicRanges-method enrichR,integer,integer,GenomicRanges-method enrichR-generic
Enrichment, Difference and Regime Calling in ChIP-seq data.normR-package DifferentialPeakCalling normR normr PeakCalling
Container for configuration of read counting with bamsignals in normRBamsignalsConfig BamsignalsCountConfig configPairedEnd configSingleEnd countConfigPairedEnd countConfigPairedEnd,ANY-method countConfigSingleEnd countConfigSingleEnd,ANY-method getBamsignalsFilter getFilter getFilter,NormRCountConfig-method getNormRCountConfigFilter NormRCountConfig NormRCountConfig-class print,NormRCountConfig-method show,NormRCountConfig-method
Container for a fit done with normRexportR exportR,NormRFit,character-method getClasses getClasses,NormRFit-method getCounts getCounts,NormRFit-method getEnrichment getEnrichment,NormRFit-method getPosteriors getPosteriors,NormRFit-method getPvalues getPvalues,NormRFit-method getQvalues getQvalues,NormRFit-method getRanges getRanges,NormRFit-method length,NormRFit-method NormRFit NormRfit normRFit normrfit NormRFit-class plot,NormRFit,missing-method plot.NormRFit print,NormRFit-method show,NormRFit-method summary,NormRFit-method
Regime Enrichment Calling for ChIP-seq data in normR with regimeRregimeCall RegimeCalling regimeR regimer regimeR,character,character,character,numeric-method regimeR,character,character,data.frame,numeric-method regimeR,character,character,GenomicRanges,numeric-method regimeR,integer,integer,GenomicRanges,numeric-method regimeR-generic