Data frame of read-count object.
*Default* none
*Values* data frame as created by 'load.file()'
namecolumn
In which column are the sgRNA identifiers?
*Default* 1
*Values* column number (numeric)
fullmatchcolumn
In which column are the read counts?
*Default* 2
*Values* column number (numeric)
extractpattern
PERL regular expression that is used to retrieve the gene identifier from the overall sgRNA identifier.
e.g. in **AAK1_107_0** it will extract **AAK1**, since this is the gene identifier beloning to this sgRNA identifier. **Please see: Read-Count Data Files**
*Default* expression("^(.+?)(_.+)"), will work for most available libraries.
*Values* PERL regular expression with parenthesis indicating the gene identifier (expression)
readcount.unmapped.total
Number of raw NGS reads, only used if 'type="mapping'.
*Default* NA
*Values* Number of raw reads (integer)
controls.target
If 'type="controls"', this is the gene identifier of the positive control.
*Default* NULL
*Value* Gene Identifier (character)
controls.nontarget
If 'type="controls"', this is the gene identifier of the non-targeting control.
*Default* "random"
*Value* Gene Identifier (character)
type
Which type os statistic will be generated.
*Default* "stats"
*Values* "stats" will generate short statistics like median and mean for the data set,
"mapping" will generate an overview of how many reads are present,
"datatset" is used to generate in-depth statistics for each gene of a dataset,
"controls" is used for in-depth statistics of the controls.