#' Downsample a whole exome sequencing (WES) dataset to a subset only containing
#' genes targeted in the panel
#'
#' This function calls the simulatePanel function on a list of inputs and for
#' each element of the list it generates a subset of a whole exome sequencing
#' dataset which only includes the genes of a given gene panel. This subset may
#' then be used to simulate panel-based TMB quantification.
#'
#' @param WES a list generated by applyFilters or applyInputToTMB with variants,
#' filter, design and sample elements.
#' @param WES.design a \code{GRanges} object containing WES sequencing design.
#' Used to remove off target mutations
#' @param panel.design a \code{GRanges} object containing sequencing design of
#' the panel tyou want to simuate. Used to subset WES.
#' @param assembly human genome assembly: "hg19" or "hg38"
#'
#' @return Returns a list of lists (one for each element of the input list). Each
#' list contains variants, filter, design and sample elements. The variants element
#' is a \code{GRanges} object containing variants from the simulated panel, which
#' is only those variants from WES falling in the regions targeted by the panel
#'
#' @examples
#'
#' ## Read design
#' # Load the design of the WES
#' data(ExampleWESdesign)
#'
#' # Load the design of the gene panel that you want to simulate
#' data(ExamplePaneldesign)
#'
#' # Load input to applySimulatePanel function
#' data(vcfs_NoCancer_ForPanel)
#'
#' # Subset WES dataset, provided as GRanges object so that it will only contain
#' # variants in the regions targeted by the panel you want to simulate
#' SimulatedPanel_NoCancer <- applySimulatePanel(WES = vcfs_NoCancer_ForPanel
#' , WES.design = ExampleWESdesign
#' , panel.design= ExamplePaneldesign
#' , assembly = "hg19")
#'
#' @author Laura Fancello
#'
#' @export
applySimulatePanel <- function(WES, WES.design, panel.design, assembly){
simulatedPanel=lapply(WES
, simulatePanel
, WES.design
, panel.design
, assembly)
return(simulatedPanel)
}
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