Description Slots Methods Author(s) See Also Examples
Class TssResult storing final sequence read data with
identified TSS.
reads:List with the read data for each segment.
segments:Data frame with the information of the individual segments.
tss:List of the identified TSS locations.
annotation:Annotation data object, as passed through the
annotation argument.
parameters:List with the parameters.
All methods for class TssNorm, as well as:
identify methods:
signature(x="TssNorm")
Identify TSS in the normalized data.
get methods:
signature(x="TssResult")
Get the expectation for non-specific reads, seestart.
signature(x="TssResult")
Get the identified transcription start sites, seestart.
signature(x="TssResult")
Subset the object, by name or index.
asRangedData methods:
signature(x="TssResult")
Convert the tss predictions, as obtained by the tss method,
to an object of class RangedData.
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
1 | showClass("TssResult")
|
Attaching package: 'TSSi'
The following object is masked from 'package:graphics':
segments
Class "TssResult" [package "TSSi"]
Slots:
Name: tss reads segments parameters annotation
Class: list list data.frame list ANY
Extends:
Class "TssNorm", directly
Class "TssData", by class "TssNorm", distance 2
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