R/createBindingFactor.DNA_motif.R

In davetgerrard/GenomicLayers: Simple, sequence-based simulation of epi-genomes.

#' Create a binding factor object to match a given DNA motif
#'
#' Create a new binding factor based on a DNA motif that \emph{may}  also require 
#' marks on others layers and \emph{may} (when used) set marks on other layers.
#' Makes use of biostrings function \code{\link{vmatchPattern}}
#' Can use IUPAC codes and allow mismatches 
#'
#' @param name give the binding factor a name
#' @param type  "DNA_motif"  to differentiate from other types
#' @param pwm   NULL put motif here as matrix (see biostrings \code{\link{pwm}})
#' @param min.score   "80\%"   passed to  \code{\link{matchPWM}}
#' @param with.score  FALSE   passed to  \code{\link{matchPWM}}
#' @param patternLength   length of pattern to be matched [ncol(pwm)]
#' @param stateWidth the width of pattern to recognise on other layers
#' @param profile.layers a vector of named layers to set as a match
#' @param profile.marks a vector of 0/1 to match the layers in profile.layers
#' @param mod.layers a vector of named layers to alter on a match
#' @param mod.marks a vector of 0/1 to set on the mod.layers
#' @param test.layer0.binding when creating, test if the DNA sequence has a match.
#' @param test.mismatch.rate  proportion of mismatches to tolerate when testing [.1]
#' @param verbose set to TRUE for more output
#'
#' @return \code{"bindingFactor"}
#' 
#' @seealso \code{\link{runLayerBinding}} \code{\link{createBindingFactor.DNA_regexp}} 
#'
#' @import Biostrings
#' 
#' @examples
#' require(Biostrings)
#' data(HNF4alpha)    # from Biostrings package
#' pwm.HNF4A <- PWM(HNF4alpha)  
#' bf_motif.1 <- createBindingFactor.DNA_motif(name="HNFA_match",pwm = pwm.HNF4A )
#'
#' bf_motif.2 <- createBindingFactor.DNA_motif(name="HNFA_alter",pwm = pwm.HNF4A ,
#'                           min.score="80%", with.score=FALSE,
#'                           profile.layers = NULL,
#'                           profile.marks=NULL,
#'                           mod.layers="LAYER.1", mod.marks = 1)
#' 
#' @export
createBindingFactor.DNA_motif <- function(name,  type="DNA_motif", pwm,
                                          min.score="80%", with.score=FALSE,
                                          patternLength = ncol(pwm), stateWidth=patternLength,
                                          profile.layers=NULL,profile.marks=NULL,
                                          mod.layers=NULL,mod.marks=NULL,
                                      test.layer0.binding=FALSE, test.mismatch.rate=.1 , max.pattern.tries=1000, 
                                      verbose=FALSE) {
  
  # create a list to store the profile that would constitute a match. 
  # parameters to pass to Biostrings::vmatchPattern()
  profileList <- list(LAYER.0=list(pattern=pwm , min.score="80%", with.score=FALSE,
                                   length=patternLength))
  
  
  if(length(profile.layers) >0) {  # there are layers to match beyond the sequence layer
    for(i in 1:length(profile.layers)) {
      thisLayer <- profile.layers[i]
      profileList[[thisLayer]] <- list(pattern=profile.marks[i], mismatch.rate=0.1, length=patternLength)
    }
  }
  # now create a second list of intended modifications.
  modList <- list()
  if(length(mod.layers) >0) { 
    for(i in 1:length(mod.layers)) {
      #for(thisLayer in sample(names(layerSet)[-1], n.modPatterns, replace=F)) {
      thisLayer <- mod.layers[i]
      modState <- mod.marks[i]
      modList[[thisLayer]] <- list(state=modState, stateWidth=stateWidth, offset=0, align="centre")   #  make stateWidth independent of patternLength
    }
  }
  
  bindingFactor <- list(name=name, type=type,
                        profile=profileList,
                        mods=modList)
  
  return(bindingFactor)
  
}