makeGRanges: Make a sorted GRanges object from a dataframe.
In hiAnnotator: Functions for annotating GRanges objects

Description Usage Arguments Value See Also Examples

The function converts a dataframe into a GRanges object without too much hassle of renaming column names. The function finds column names that sound like seqname, chromosome, start, stop, position, etc and puts them in respective slots to facilitate the conversion of a dataframe to a GRanges object. If more than one column that sounds like start, stop, or position is present, the function will use the first match as the representative. It is recommended to run this function before utilizing any other annotation functions since it will sort the object by chromosome and position for copying annotations back to their respective rows confidently.

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makeGRanges(x, freeze = NULL, positionsOnly = FALSE,
  soloStart = FALSE, chromCol = NULL, strandCol = NULL,
  startCol = NULL, stopCol = NULL, keepFactors = FALSE)

`x`	dataframe to be converted into a GRanges object
`freeze`	UCSC genome version of the data in x. Default is NULL. This parameter is generally used to populate seqinfo slot of GRanges objects.
`positionsOnly`	boolean flag indicating to return only position based data or everything from the dataframe. Defaults to FALSE.
`soloStart`	flag denoting whether only one position based column is available. In other words, only starts are present and no stops. Default=FALSE.
`chromCol`	use the defined column name for seqname/chromosome based data from the dataframe. Defaults to NULL.
`strandCol`	use the defined column name for strand or orientation from the dataframe. Defaults to NULL.
`startCol`	use the defined column name for start coordinate from the dataframe. Defaults to NULL.
`stopCol`	use the defined column name for stop coordinate from the dataframe. Defaults to NULL and not required if soloStart=TRUE.
`keepFactors`	keep vectors/columns stored as factors? Defaults to FALSE

a GRanges object converted from x.

getNearestFeature, getFeatureCounts, getSitesInFeature.

# Convert a dataframe to GRanges object
data(genes)

makeGRanges(genes, soloStart = TRUE)
makeGRanges(genes)
#makeGRanges(genes, freeze = "hg18", soloStart = TRUE)
#makeGRanges(genes, freeze = "hg18")