Package: BiSeq 1.45.0

Katja Hebestreit

BiSeq: Processing and analyzing bisulfite sequencing data

The BiSeq package provides useful classes and functions to handle and analyze targeted bisulfite sequencing (BS) data such as reduced-representation bisulfite sequencing (RRBS) data. In particular, it implements an algorithm to detect differentially methylated regions (DMRs). The package takes already aligned BS data from one or multiple samples.

Authors:Katja Hebestreit, Hans-Ulrich Klein

BiSeq_1.45.0.tar.gz
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BiSeq.pdf |BiSeq.html
BiSeq/json (API)

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

Peer review:

Datasets:
  • DMRs - The output of 'findDMRs'
  • betaResults - The output of 'betaRegression'
  • betaResultsNull - The output of 'betaRegression' for resampled data
  • predictedMeth - The output of 'predictMeth'
  • promoters - A 'GRanges' of promoters of the human genome
  • rrbs - RRBS data of APL patient samples and controls.
  • vario - Output of 'makeVariogram'

On BioConductor:BiSeq-1.45.0(bioc 3.20)BiSeq-1.44.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

37 exports 1.00 score 81 dependencies 33 mentions

Last updated 2 months agofrom:cd005cd510

Exports:annotateGRangesbetaRegressionbinomLikelihoodSmoothBSrawBSrelclusterSitesclusterSitesToGRcombinecompareTwoSamplescovBoxplotscovStatisticsestLocCorfilterByCovfilterBySharedRegionsfindDMRsglobalTestlimitCovlogisticRegressionmakeVariogrammethLevelmethLevel<-methReadsmethReads<-plotBindingSitesplotMethplotMethMapplotSmoothMethpredictMethrawToRelreadBismarksmoothVariogramsummarizeRegionstestClusterstotalReadstotalReads<-trimClusterswriteBED

Dependencies:abindannotateAnnotationDbiaskpassbetaregBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobcachemclicodetoolscpp11crayoncurlDBIDelayedArrayfastmapflexmixformatRFormulafutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesglobaltestgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclelmtestlokernMatrixMatrixGenericsmatrixStatsmemoisemimemodeltoolsnnetopensslpkgconfigplogrpngR6RCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssandwichsfsmiscsnowSparseArraySummarizedExperimentsurvivalsysUCSC.utilsvctrsXMLxtableXVectoryamlzlibbioczoo

An Introduction to BiSeq

Rendered fromBiSeq.Rnwusingutils::Sweaveon Jun 25 2024.

Last update: 2016-02-22
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
Annotates a 'GRanges' object by means of a second 'GRanges' objectannotateGRanges annotateGRanges,GRanges,GRanges,character,character-method annotateGRanges,GRanges,GRanges,character,integer-method annotateGRanges,GRanges,GRanges,character,missing-method
A function to estimate and test a group factor within a beta regressionbetaRegression betaRegression,formula,character,BSrel,missing-method betaRegression,formula,character,BSrel,numeric-method
The output of 'betaRegression'betaResults
The output of 'betaRegression' for resampled databetaResultsNull
Calculates local likelihood estimations for binomial random variablesbinomLikelihoodSmooth binomLikelihoodSmooth,ANY-method
Class to contain raw Bisulfite Sequencing (BiSeq) DataBSraw BSraw,matrix,matrix,GRanges-method BSraw-class combine,BSraw,BSraw-method methReads methReads,BSraw-method methReads<- methReads<-,BSraw,matrix-method totalReads totalReads,BSraw-method totalReads<- totalReads<-,BSraw,matrix-method
Class to contain Bisulfite Sequencing (BiSeq) DataBSrel BSrel,matrix,GRanges-method BSrel-class combine,BSrel,BSrel-method methLevel methLevel,BSrel-method methLevel<- methLevel<-,BSrel,matrix-method
Assigns CpG cluster memberships on CpG sites within 'BSraw' objectsclusterSites clusterSites,BSraw,ANY,numeric,missing,missing,missing-method clusterSites,BSraw,ANY,numeric,missing,numeric,missing-method clusterSites,BSraw,ANY,numeric,numeric,missing,missing-method clusterSites,BSraw,ANY,numeric,numeric,numeric,missing-method clusterSites,BSraw,ANY,numeric,numeric,numeric,numeric-method clusterSites,BSraw,missing,missing,missing,missing,missing-method clusterSites,BSraw,missing,numeric,numeric,numeric,missing-method clusterSites,BSraw,missing,numeric,numeric,numeric,numeric-method
A function to obtain a 'GRanges' object of CpG clusters from 'BSraw' and 'BSrel' objectsclusterSitesToGR clusterSitesToGR,BSraw-method clusterSitesToGR,BSrel-method
Detects DMRs by comparing two samplescompareTwoSamples compareTwoSamples,BSraw,character,character,numeric,numeric-method compareTwoSamples,BSraw,numeric,numeric,numeric,numeric-method compareTwoSamples,BSrel,character,character,numeric,numeric-method compareTwoSamples,BSrel,numeric,numeric,numeric,numeric-method
Creates boxplots of coverages per samplecovBoxplots covBoxplots,BSraw-method
Prints a short summary of coverage statistics per samplecovStatistics covStatistics,BSraw-method covStatistics,BSrel-method
The output of 'findDMRs'DMRs
Estimates the correlations of the z-scoresestLocCor estLocCor,list-method
Filters regions (or single CpGs) of a 'BSraw' object with a minimum coveragefilterByCov filterByCov,BSraw,missing,logical-method filterByCov,BSraw,missing,missing-method filterByCov,BSraw,numeric,logical-method filterByCov,BSraw,numeric,missing-method
Reduces a 'BSraw' or 'BSrel' object to regions (or single CpGs) shared by a fraction of samplesfilterBySharedRegions filterBySharedRegions,BSraw,ANY,missing,numeric,missing-method filterBySharedRegions,BSraw,ANY,missing,numeric,numeric-method filterBySharedRegions,BSraw,ANY,numeric,missing,missing-method filterBySharedRegions,BSraw,ANY,numeric,missing,numeric-method filterBySharedRegions,BSraw,missing,missing,missing,missing-method filterBySharedRegions,BSraw,missing,missing,missing,numeric-method filterBySharedRegions,BSraw,missing,missing,numeric,missing-method filterBySharedRegions,BSraw,missing,missing,numeric,numeric-method filterBySharedRegions,BSraw,missing,numeric,missing,missing-method filterBySharedRegions,BSraw,missing,numeric,missing,numeric-method filterBySharedRegions,BSrel,ANY,missing,numeric,ANY-method filterBySharedRegions,BSrel,ANY,numeric,missing,ANY-method filterBySharedRegions,BSrel,missing,missing,missing,ANY-method filterBySharedRegions,BSrel,missing,missing,numeric,ANY-method filterBySharedRegions,BSrel,missing,numeric,missing,ANY-method
Aggregates CpG sites to DMRsfindDMRs findDMRs,data.frame,missing,numeric,logical-method findDMRs,data.frame,missing,numeric,missing-method findDMRs,data.frame,numeric,numeric,logical-method findDMRs,data.frame,numeric,numeric,missing-method
Test whether at least one CpG is differentially methylated in a given genomic regionglobalTest globalTest,ANY,BSrel-method
Limits the coverage of a 'BSraw' objectlimitCov limitCov,BSraw,numeric-method
Estimates and tests a group factorlogisticRegression logisticRegression,formula,character,BSrel,missing-method logisticRegression,formula,character,BSrel,numeric-method
Variogram estimator.makeVariogram makeVariogram,data.frame,logical,missing,missing-method makeVariogram,data.frame,logical,missing,numeric-method makeVariogram,data.frame,logical,numeric,missing-method makeVariogram,data.frame,logical,numeric,numeric-method makeVariogram,data.frame,missing,missing,missing-method makeVariogram,data.frame,missing,numeric,numeric-method
Plots the mean methylation of given regionsplotBindingSites plotBindingSites,BSraw,GRanges-method plotBindingSites,BSrel,GRanges-method
Plots raw and smoothed methylation data for a given regionplotMeth plotMeth,BSraw,BSrel,GRanges-method
Plots methylation values of multiple samples in a given regionplotMethMap plotMethMap,BSraw,GRanges,factor,logical-method plotMethMap,BSraw,GRanges,factor,missing-method plotMethMap,BSraw,GRanges,missing,logical-method plotMethMap,BSraw,GRanges,missing,missing-method plotMethMap,BSrel,GRanges,factor,logical-method plotMethMap,BSrel,GRanges,factor,missing-method plotMethMap,BSrel,GRanges,missing,logical-method plotMethMap,BSrel,GRanges,missing,missing-method
Plots smoothed methylation values for a bunch of samples and a given regionplotSmoothMeth plotSmoothMeth,BSrel,GRanges,ANY,logical-method plotSmoothMeth,BSrel,GRanges,ANY,missing-method
The output of 'predictMeth'predictedMeth
Predicts methylation levels along CpG sites or for a grid of sites in CpG clusters.predictMeth predictMeth,BSraw,missing,missing,missing-method predictMeth,BSraw,missing,missing,numeric-method predictMeth,BSraw,numeric,missing,missing-method predictMeth,BSraw,numeric,missing,numeric-method predictMeth,BSraw,numeric,numeric,numeric-method
A 'GRanges' of promoters of the human genomepromoters
Converts a 'BSraw' object to a 'BSrel' objectrawToRel rawToRel,BSraw-method
Reads cytosine methylation stati determined by BismarkreadBismark readBismark,character,character-method readBismark,character,data.frame-method readBismark,character,DataFrame-method
RRBS data of APL patient samples and controls.rrbs
Smoothes variogramsmoothVariogram smoothVariogram,list,numeric,missing-method smoothVariogram,list,numeric,numeric-method smoothVariogram,matrix,numeric,missing-method smoothVariogram,matrix,numeric,numeric-method
Aggregates methylation information of single CpG sitessummarizeRegions summarizeRegions,BSraw,GRanges,logical-method summarizeRegions,BSraw,GRanges,missing-method summarizeRegions,BSrel,GRanges,logical-method summarizeRegions,BSrel,GRanges,missing-method
Tests CpG clusterstestClusters testClusters,list,missing-method testClusters,list,numeric-method
Trims CpG clusterstrimClusters trimClusters,list,missing-method trimClusters,list,numeric-method
Output of 'makeVariogram'vario
Writes 'BSraw' and 'BSrel' data to a bed file suitable for the IGVwriteBED writeBED,BSraw,character,character-method writeBED,BSraw,character,missing-method writeBED,BSraw,missing,character-method writeBED,BSraw,missing,missing-method writeBED,BSrel,character,character-method writeBED,BSrel,character,missing-method writeBED,BSrel,missing,character-method writeBED,BSrel,missing,missing-method