A FootprintFilter object allows for filtering based on gene footprinting databases. Using its associated getCandidates method and URIs for both a genome database and project database, a FootprintFilter object can be used to filter a list of possible transcription factors to those that match footprint motifs for a supplied target gene.

FootprintFilter(genomeDB, footprintDB, regions = data.frame(), quiet = TRUE)

Arguments

genomeDB

A connection to a database that contains genome information

footprintDB

A connection to a database that contains footprint information

regions

A data frame that specifies the regions of interest (default = data.frame())

quiet

A logical denoting whether or not the filter should print output

Value

An object of the FootprintFilter class

See also

Examples

if (FALSE) { load(system.file(package="trena", "extdata/ampAD.154genes.mef2cTFs.278samples.RData")) db.address <- system.file(package="trena", "extdata") genome.db.uri <- paste("sqlite:/",db.address,"mef2c.neighborhood.hg38.gtfAnnotation.db", sep = "/") project.db.uri <- paste("sqlite:/",db.address,"mef2c.neigborhood.hg38.footprints.db", sep = "/") target.gene <- "MEF2C" size.upstream <- 1000 size.downstream <- 1000 # Construct a Trena object and use it to retrive the regions trena <- Trena("hg38") regions <- getProximalPromoter(trena,target.gene, size.upstream, size.downstream) footprint.filter <- FootprintFilter(genomeDB = genome.db.uri, footprintDB = project.db.uri, regions = regions) }