All functions

BRGenomics-package BRGenomics

BRGenomics: Tools for the Efficient Analysis of High-Resolution Genomics Data

PROseq PROseq_paired

PRO-seq data from Drosophila S2 cells

applyNFsGRanges()

Apply normalization factors to GRanges object

binNdimensions() aggregateByNdimBins() densityInNdimBins()

Generating and Aggregating Data Within N-dimensional Bins

metaSubsample() metaSubsampleMatrix()

Bootstrapping Mean Signal by Position for Metaplotting

genebodies()

Extract Genebodies

getCountsByPositions()

Get signal counts at each position within regions of interest

getCountsByRegions()

Get signal counts in regions of interest

getDESeqDataSet()

Get DESeqDataSet objects for downstream analysis

getDESeqResults()

Get DESeq2 results using reduced dispersion matrices

getMaxPositionsBySignal()

Find sites with max signal in regions of interest

getPausingIndices()

Calculate pausing indices from user-supplied promoters & genebodies

getSpikeInCounts() removeSpikeInReads() getSpikeInReads()

Filtering and counting spike-in reads

getSpikeInNFs() spikeInNormGRanges()

Calculating spike-in normalization factors

getStrandedCoverage()

Get strand-specific coverage

import_bigWig() import_bedGraph()

Import basepair-resolution files

import_bam() import_bam_PROseq() import_bam_PROcap() import_bam_ATACseq()

Import bam files

intersectByGene() reduceByGene()

Intersect or reduce ranges according to gene names

makeGRangesBRG() isBRG()

Constructing and checking for base-pair resolution GRanges objects

mergeGRangesData()

Merge GRanges objects

mergeReplicates()

Merge replicates of basepair-resolution GRanges objects

subsampleBySpikeIn()

Randomly subsample reads according to spike-in normalization

subsampleGRanges()

Randomly subsample reads from GRanges dataset

subsetRegionsBySignal()

Subset regions of interest by quantiles of overlapping signal

tidyChromosomes()

Remove odd chromosomes from GRanges objects

txs_dm6_chr4

Ensembl transcripts for Drosophila melanogaster, dm6, chromosome 4.