Get a table of regulatory regions for a Human DHS filter

# S4 method for HumanDHSFilter
getRegulatoryRegions(
  obj,
  encode.table.name,
  chromosome,
  start,
  end,
  score.threshold = 0
)

Arguments

obj

An object of class HumanDHSFilter

encode.table.name

A vector of names for Encode tables

chromosome

The chromosome of interest

start

The starting position

end

The ending position

score.threshold

A threshold for the score (default = 200)

Value

A data frame containing the regulatory regions for the filter, including the chromosome, start, and end positions, plus the count and score of each region.

See also

Examples

if (FALSE) { # Make a filter for "transcription, DNA-templated" and use it to filter candidates load(system.file(package="trena", "extdata/ampAD.154genes.mef2cTFs.278samples.RData")) targetGene <- "VRK2" promoter.length <- 1000 genomeName <- "hg38" db.address <- system.file(package="trena", "extdata") genome.db.uri <- paste("sqlite:/", db.address, "vrk2.neighborhood.hg38.gtfAnnotation.db", sep = "/") jaspar.human <- as.list(query(query(MotifDb, "sapiens"),"jaspar2016")) # Grab regions for VRK2 using shoulder size of 1000 trena <- Trena(genomeName) tbl.regions <- getProximalPromoter(trena, "VRK2", 1000, 1000) hd.filter <- HumanDHSFilter(genomeName, pwmMatchPercentageThreshold = 85, geneInfoDatabase.uri = genome.db.uri, regions = tbl.regions, pfms = jaspar.human) chrom <- "chr2" rs13384219.loc <- 57907323 start <- rs13384219.loc - 10 end <- rs13384219.loc + 10 tableNames <- getEncodeRegulatoryTableNames(hd.filter) getRegulatoryRegions(hd.filter, tableNames[1], chrom, start, end) }