\name{gridCover-class} \Rdversion{1.1} \docType{class} \alias{gridCover-class} \alias{[,gridCover-method} \alias{lines,gridCover-method} \alias{plot,gridCover,ANY-method} \alias{show,gridCover-method} \alias{getViewsInfo,gridCover-method} \alias{getCover,gridCover-method} \alias{getViewsInfo} \alias{getCover} \title{Class "gridCover"} \description{ Objects of class \code{gridCover} store coverage information evaluated on a grid on pre-specified genomic regions. } \section{Objects from the Class}{ Objects of this class are returned by call to the function \code{gridCoverage}. } \section{Slots}{ \describe{ \item{\code{cover}:}{Object of class \code{"matrix"} with one row for each genomic region of interest, and 500 columns. Columns 1-100 contain the coverage in the promoter region (as specified in argument \code{promoterDistance} to \code{gridCoverage}). Columns 101-500 contain the coverage between \code{start} and \code{end} as indicated to \code{promoterDistance}.} \item{\code{viewsInfo}:}{Object of class \code{"DataFrame"} with information relative to each region (strand, mean and maximum coverage). } } } \section{Methods}{ \describe{ \item{[}{\code{signature(x = "gridCover", i = "ANY", j = "ANY")}: Select a subset of peaks. } \item{plot}{\code{signature(x = "gridCover", y = "ANY")}: Plot the coverage. } \item{lines}{\code{signature(x = "gridCover")}: Add lines to an existing plot. } \item{show}{\code{signature(object = "gridCover")}: Show method. } \item{stdGrid}{\code{signature(x = "gridCover")}: Standardize the coverage by dividing by either the mean or the maximum coverage in each region. } \item{getViewsinfo}{\code{signature(x = "gridCover")}: Accessor for the \code{viewsInfo} slot.} \item{getCover}{\code{signature(x = "gridCover")}: Accessor for the \code{cover} slot.} } } \author{David Rossell} \seealso{ \code{\link{regionsCoverage}} to compute coverage on pre-specified regions, \code{\link{gridCoverage}} to compute coverage on a grid. } \examples{ ##See help(gridCoverage) } \keyword{classes}