regionsCoverage computes coverage for user specified genomic
  regions.
  
  gridCoverage evaluates the coverage on a regular grid with the
  same number of points for each region (facilitating further plotting,
  clustering etc).  stdGrid standardized the coverage by diviging by the average or
  maximum coverage at each region.
regionsCoverage(chr, start, end, cover)
gridCoverage(cover)
stdGrid(cover, colname="maxCov")start>end indicates that
    region is on the negative strand.start>end indicates that
    region is on the negative strand.regionsCoverage, cover is an object of
    class RleList with the genome-wide coverage 
    (typically obtained by a previous call to coverage).
    For gridCoverage this is the coverage evaluated at user-specified regions, as returned
    by regionsCoverage. For stdGrid this is the coverage
    evaluated on a grid, as returned by gridCoverage.cover@viewsInfo to be used
  for the standardizing. Currently only "meanCov" and
  "maxCov" are implemented.regionsCoverage returns a list with two components
  RleViewsList with coverage evaluated at specified
    regions. Orientation is always so that startSplitDataFrameList containing information
    about each peak (chromosome, strand, mean and maximum coverage).gridCoverage and stdGrid return an object of class
  gridCover.
  The slot cover is a matrix with the coverage evaluated on a
  grid of 500 equi-spaced points, whereas the slot viewsInfo is the same as that returned
  by regionsCoverage (see above).
  For regions between 100bp and 500bp long, a linear interpolation is
  used to evaluate the coverage on the 500 points grid. For regions less
  than 100bp long, NAs are returned.
regionsCoverage: signature(chr = "ANY", start = "ANY", end = "ANY", cover = "RleList")cover at the genomic positions specified by chr,
start, end.
stdGrid: signature(cover = "gridCover")gridCoverage) by dividing by the mean or maximum coverage.
gridCover-class