Package: BRGenomics 1.17.0
BRGenomics: Tools for the Efficient Analysis of High-Resolution Genomics Data
This package provides useful and efficient utilites for the analysis of high-resolution genomic data using standard Bioconductor methods and classes. BRGenomics is feature-rich and simplifies a number of post-alignment processing steps and data handling. Emphasis is on efficient analysis of multiple datasets, with support for normalization and blacklisting. Included are functions for: spike-in normalizing data; generating basepair-resolution readcounts and coverage data (e.g. for heatmaps); importing and processing bam files (e.g. for conversion to bigWig files); generating metaplots/metaprofiles (bootstrapped mean profiles) with confidence intervals; conveniently calling DESeq2 without using sample-blind estimates of genewise dispersion; among other features.
Authors:
BRGenomics_1.17.0.tar.gz
BRGenomics_1.17.0.zip(r-4.3)
BRGenomics_1.17.0.tgz(r-4.3-any)
BRGenomics_1.17.0.tar.gz(r-4.5-noble)BRGenomics_1.17.0.tar.gz(r-4.4-noble)
BRGenomics_1.17.0.tgz(r-4.4-emscripten)BRGenomics_1.17.0.tgz(r-4.3-emscripten)
BRGenomics.pdf |BRGenomics.html✨
BRGenomics/json (API)
NEWS
# Install 'BRGenomics' in R: |
install.packages('BRGenomics', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mdeber/brgenomics/issues
- PROseq - PRO-seq data from Drosophila S2 cells
- PROseq_paired - PRO-seq data from Drosophila S2 cells
- txs_dm6_chr4 - Ensembl transcripts for Drosophila melanogaster, dm6, chromosome 4.
On BioConductor:BRGenomics-1.17.0(bioc 3.20)BRGenomics-1.16.0(bioc 3.19)
Last updated 2 months agofrom:34753d5034
Exports:aggregateByNdimBinsapplyNFsGRangesbinNdimensionsdensityInNdimBinsgenebodiesgetCountsByPositionsgetCountsByRegionsgetDESeqDataSetgetDESeqResultsgetMaxPositionsBySignalgetPausingIndicesgetSpikeInCountsgetSpikeInNFsgetSpikeInReadsgetStrandedCoverageimport_bamimport_bam_ATACseqimport_bam_PROcapimport_bam_PROseqimport_bedGraphimport_bigWigintersectByGeneisBRGmakeGRangesBRGmergeGRangesDatamergeReplicatesmetaSubsamplemetaSubsampleMatrixreduceByGeneremoveSpikeInReadsspikeInNormGRangessubsampleBySpikeInsubsampleGRangessubsetRegionsBySignaltidyChromosomes
Dependencies:abindaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopsclicodetoolscolorspacecpp11crayoncurlDelayedArrayDESeq2fansifarverformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclelocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigR6RColorBrewerRcppRcppArmadilloRCurlrestfulrRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorsscalessnowSparseArraySummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXMLXVectoryamlzlibbioc
Analyzing Multiple Datasets
Rendered fromAnalyzingMultipleDatasets.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09
DESeq2 with Global Perturbations
Rendered fromDESeq2WithGlobalPerturbations.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09
Getting Started
Rendered fromGettingStarted.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09
Importing & Modifying Annotations
Rendered fromImportingModifyingAnnotations.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09
Importing & Processing Data
Rendered fromImportingProcessingData.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09
Basepair-Resolution Analysis with BRGenomics
Rendered fromOverview.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09
Profile Plots & Bootstrapping
Rendered fromProfilePlotsAndBootstrapping.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09
SequenceExtraction
Rendered fromSequenceExtraction.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09
Signal Counting
Rendered fromSignalCounting.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09
Spike-in Normalization
Rendered fromSpikeInNormalization.Rmd
usingknitr::rmarkdown
on Jul 02 2024.Last update: 2020-04-09
Started: 2020-04-09