segmentize-methods: Segmentize methods
In TSSi: Transcription Start Site Identification

Description Usage Arguments Details Value Methods Author(s) See Also Examples

Import sequence read count data and transform it into segments.

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segmentizeCounts(counts, start, end=start, chr=rep(1L, length(start)),
region=rep(1L, length(start)), strand=rep("*", length(start)),
replicate=rep(1L, length(start)), annotation=NULL, ...)

`counts`	Integer vector with the number of reads for each position in `start`.
`start`	Integer vector with the start positions of the reads.
`end`	Optional integer vector with the end positions of the reads. If not supplied the values of `start` will be used.
`chr`	Optional vector with the chromosomal locations of the reads. If not supplied all reads will are assumed to be located on one chromosome.
`region`	Optional vector with an assignment of each read to a separate region, for example based on additional annotation. If not supplied all reads will be part of one region.
`strand`	Optional vector with the strand location of each read.
`replicate`	Optional integer vector identifying the replicate each read was obtained from, in the case of data from multiple measurements.
`annotation`	Optional object containing meta data passed along it the analysis. This argument does not influence the analysis.
`...`	Optional arguments.

pattern: Regular expression specifying the naming of the segments. The terms %1$s, %2$s, and %3$s refer to the chromosome, the strand, and the region, respectively. If not supplied the standard naming pattern %1$s_%2$s_%3$s will be used.

The segmentizeCounts method takes the raw data and breaks it into segments which will be analyzed separately in the subsequent steps. Segments are defined in a way such that any has a unique combination of the input arguments chr, region, and strand. In case any of these is not supplied it is assumed that all reads belong to one chromosome, region, or strand, respectively. Usage of the region argument is beneficial if the location of potential TSS can be constrained below the level of chromosomes and strands.

An object of class TssData.

Import read data and transform it into segments:

segmentizeCounts:: signature(nReads="integer", start="integer")

segmentizeCounts(counts, start, ...)

Maintainer: Julian Gehring <julian.gehring@fdm.uni-freiburg.de>

Classes: TssData, TssNorm, TssResult

Methods: segmentizeCounts, normalizeCounts, identifyStartSites, get-methods, plot-methods, asRangedData-methods

Functions: subtract-functions

Data set: physcoCounts

Package: TSSi-package

## load data set
example(physcoCounts)

## import and segmentize data
attach(physcoCounts)
x <- segmentizeCounts(counts=counts, start=start, chr=chromosome,
region=region, strand=strand)
detach(physcoCounts)