Nothing
## .STRAND_LEVELS needs to be early, to be used in class
## prototypes. C-level code retrieves this value.
## readAligned,type=MAQMap depends on this ordering.
.STRAND_LEVELS <- levels(strand())
.toStrand_Solexa <- function(x)
factor(.STRAND_LEVELS[match(x, c("F", "R"))],
levels=.STRAND_LEVELS)
.srValidity <- function(object) TRUE
setGeneric(".srValidity")
## Virtual base classes
setClass(".ShortReadBase")
## .SRUtil: SRError / SRList / SRVector / SRFilter
setClass(".SRUtil",
representation=representation("VIRTUAL"))
setClass("SRError", contains=".SRUtil",
representation=representation(
.type="character",
.message="character"),
prototype=prototype(
.type="Unspecified",
.message="unknown error"),
validity=.srValidity)
setClass("SRWarn", contains=".SRUtil",
representation=representation(
.type="character",
.message="character"),
prototype=prototype(
.type="Unspecified",
.message="unknown warning"),
validity=.srValidity)
setClass("SRList", contains=".SRUtil",
representation=representation(
.srlist="list"),
prototype=prototype(
.srlist=list()))
setClass("SRVector", contains="SRList",
representation=representation(
vclass="character"),
prototype=prototype(
vclass=NA_character_),
validity=.srValidity)
setClass("SRFilter",
contains=c("function", ".SRUtil"),
representation=representation(
name="ScalarCharacter"),
validity=.srValidity)
setClass("SRFilterResult",
contains=c("logical", ".SRUtil"),
representation=representation(
name="ScalarCharacter",
stats="data.frame"))
## Intensity
setClass("IntensityMeasure", contains=".ShortReadBase",
representation=representation("VIRTUAL"))
setClass("IntensityInfo", contains=".ShortReadBase",
representation=representation("VIRTUAL"))
setClass("Intensity", contains=".ShortReadBase",
representation=representation(
.hasMeasurementError="ScalarLogical",
readInfo="IntensityInfo",
intensity="IntensityMeasure",
measurementError="IntensityMeasure",
"VIRTUAL"),
prototype=prototype(
.hasMeasurementError=mkScalar(FALSE)),
validity=.srValidity)
## Intensity, implementation
setClass("ArrayIntensity",
contains=c("array", "IntensityMeasure"),
prototype=prototype(array(0, c(0, 0, 0))))
ArrayIntensity <-
function(intensity=array(0, c(0, 0, 0)), ...)
{
new("ArrayIntensity", intensity, ...)
}
setClass("SolexaIntensityInfo",
## AnnotatedDataFrame as prototype does not work, r46984.
## .init is a work-around to identify user-constructed
## objects that should be valid; used in .srValidity-method
contains=c("AnnotatedDataFrame", "IntensityInfo"),
representation=representation(.init="ScalarLogical"),
prototype=prototype(.init=mkScalar(FALSE)),
validity=.srValidity)
SolexaIntensityInfo <-
function(lane=integer(0), tile=integer(0)[seq_along(lane)],
x=integer(0)[seq_along(lane)],
y=integer(0)[seq_along(lane)])
{
new("SolexaIntensityInfo",
data=data.frame(
lane=lane, tile=tile, x=x, y=y),
varMetadata=data.frame(
labelDescription=c(
"Solexa lane nubmer",
"Solexa tile nubmer",
"Tile x coordinate",
"Tile y coordinate")),
.init=mkScalar(TRUE))
}
setClass("SolexaIntensity", contains="Intensity",
prototype=prototype(
readInfo=SolexaIntensityInfo(),
intensity=ArrayIntensity(),
measurementError=ArrayIntensity()),
validity=.srValidity)
setClass("RtaIntensity", contains="SolexaIntensity")
## QualityScore
setClass("QualityScore", contains=".ShortReadBase",
representation=representation("VIRTUAL"))
setClass("NumericQuality", contains="QualityScore",
representation=representation(
quality="numeric"))
NumericQuality <- function(quality=numeric(0)) { # used below
new("NumericQuality", quality=quality)
}
setClass("IntegerQuality", contains="NumericQuality",
representation=representation(
quality="integer"))
setClass("MatrixQuality", contains="QualityScore",
representation=representation(
quality="matrix"))
setClass("FastqQuality", contains="QualityScore",
representation=representation(
quality="BStringSet"),
prototype=prototype(
quality=BStringSet(character(0))))
setClass("SFastqQuality", contains="FastqQuality") # Solexa variant
## ShortRead / ShortReadQ
setClass("ShortRead", contains=".ShortReadBase",
representation=representation(
sread="DNAStringSet",
id="BStringSet"),
prototype=prototype(
sread=DNAStringSet(character(0)),
id=BStringSet(character(0))),
validity=.srValidity)
setClass("ShortReadQ", contains="ShortRead",
representation=representation(
quality="QualityScore"),
prototype=prototype(
quality=NumericQuality()),
validity=.srValidity)
## ExperimentPath (base class for experimental data paths)
setClass("ExperimentPath", contains = c(".ShortReadBase"),
representation = representation(
basePath="character"),
prototype = prototype(
basePath=NA_character_),
validity = .srValidity)
## SRSet (base class for datasets)
setClass("SRSet", contains = ".ShortReadBase",
representation = representation(
sourcePath="ExperimentPath", # for lazy loading
readIndex="integer", # for tracking subsets and sorting
readCount="integer", # counts of reads in each sample
phenoData="AnnotatedDataFrame", # experimental design
readData="AnnotatedDataFrame"), # arbitrary read annotations
prototype = prototype(
sourcePath=new("ExperimentPath"),
readIndex=integer(0),
readCount=integer(0),
phenoData=new("AnnotatedDataFrame"),
readData=new("AnnotatedDataFrame")),
validity = .srValidity)
## AlignedRead: AlignedDataFrame
setClass("AlignedDataFrame", contains="AnnotatedDataFrame",
prototype=prototype(
new("AnnotatedDataFrame",
dimLabels=c("readName", "alignColumn"))),
validity=.srValidity)
setClass("AlignedRead", contains="ShortReadQ",
representation=representation(
chromosome="factor",
position="integer",
strand="factor",
alignQuality="QualityScore",
alignData="AlignedDataFrame"),
prototype=prototype(
strand=factor(levels=.STRAND_LEVELS),
alignQuality=NumericQuality()),
validity=.srValidity)
## .Solexa
setClass(".Solexa", contains=".ShortReadBase",
representation=representation("VIRTUAL"))
setClass("SolexaPath", contains=c("ExperimentPath", ".Solexa"),
representation=representation(
dataPath="character",
scanPath="character",
imageAnalysisPath="character",
baseCallPath="character",
analysisPath="character"),
prototype=prototype(
scanPath=NA_character_,
dataPath=NA_character_,
imageAnalysisPath=NA_character_,
baseCallPath=NA_character_,
analysisPath=NA_character_),
validity=.srValidity)
setClass("SolexaSet", contains=".Solexa",
representation=representation(
solexaPath="SolexaPath",
laneDescription="AnnotatedDataFrame"),
prototype=prototype(
solexaPath=new("SolexaPath"),
laneDescription=new("AnnotatedDataFrame",
data=data.frame(1:8)[,FALSE],
dimLabels=c("laneNames", "laneColumns"))),
validity=.srValidity)
### .Roche
setClass(".Roche", contains=".ShortReadBase",
representation=representation("VIRTUAL"))
setClass("RochePath", contains=c("ExperimentPath", ".Roche"),
representation=representation(
readPath="character",
qualPath="character"),
prototype=prototype(
readPath=NA_character_,
qualPath=NA_character_),
validity=.srValidity)
setClass("RocheSet", contains=c("SRSet", ".Roche"),
representation=representation(
sourcePath="RochePath"),
prototype=prototype(
sourcePath=new("RochePath")),
validity=.srValidity)
## QA
setClass(".QA", contains=c("SRList", ".ShortReadBase"),
representation=representation("VIRTUAL"))
setClass("ShortReadQQA", contains=".QA")
setClass("FastqQA", contains="ShortReadQQA") # synonym
setClass("SolexaExportQA", contains=".QA")
setClass("SolexaRealignQA", contains=".QA")
setClass("MAQMapQA", contains=".QA")
setClass("BowtieQA", contains=".QA")
## Snapshot
setClass("SnapshotFunction",
representation=representation(
reader="function",
viewer="function",
limits="integer"))
setClass("SnapshotFunctionList", "SimpleList",
prototype=prototype(elementType="SnapshotFunction"))
setOldClass("trellis")
.SpTrellis <-
setRefClass("SpTrellis",
fields=list(trellis="trellis", .debug_enabled="logical"))
.Snapshot <-
setRefClass("Snapshot",
fields=list(
.debug="function", .auto_display="logical",
## ranges
.range="GRanges", .orig.range="GRanges", .zin="logical",
.pright="logical",
## data
.data="data.frame", .data_dirty="logical",
.initial_functions="SnapshotFunctionList",
.current_function="character", .using_initial_functions="logical",
## more-or-less public
## annotation track
files="BamFileList", functions="SnapshotFunctionList",
view="SpTrellis", annTrack="ANY", ignore.strand="logical",
fac="character"))
## ShortReadFile -- methods elsewhere
.ShortReadFile_g <- setRefClass("ShortReadFile",
fields=list(con="ANY", path="character"),
methods=list(
msg = function(txt) {
"display 'txt' with status information as a message()"
s <- status(update=TRUE)
message(txt, " ", paste(names(s), s, sep="=", collapse=" "))
},
status=function(update=FALSE) {},
show = function() {
cat("class:", class(.self), "\n")
cat(Rsamtools:::.ppath("path", path))
cat("isOpen:", isOpen(.self), "\n")
}))
.FastqFile_g <-
setRefClass("FastqFile", contains="ShortReadFile")
.FastqFileReader_g <- setRefClass("FastqFileReader",
contains="FastqFile",
fields = list(
reader = "function", readerBlockSize="integer",
.status = "integer", sampler = "externalptr",
verbose = "logical"),
methods = list(
yield = function(...) {
stop("'yield' not implemented for class '",
class(.self), "'")
},
show = function() {
cat("class:", class(.self), "\n")
nm <- tryCatch({
basename(summary(.self$con)$description)
}, error=function(err) {
"closed"
})
cat("file:", nm, "\n")
s <- .self$status()
cat("status:", paste(names(s), s, sep="=", collapse=" "), "\n")
}))
.FastqStreamer_g <- setRefClass("FastqStreamer",
contains="FastqFileReader",
fields = list(
skips="integer", adds = "integer", ith = "integer",
recycle = "logical"))
.FastqSampler_g <- setRefClass("FastqSampler",
contains="FastqFileReader",
fields = list(
ordered = "logical"))
setClass("FastqFileList", contains="RsamtoolsFileList",
prototype=prototype(elementType="FastqFile"))
setClass("FastqSamplerList", contains="FastqFileList",
prototype=prototype(elementType="FastqSampler"))
setClass("FastqStreamerList", contains="FastqFileList",
prototype=prototype(elementType="FastqStreamer"))
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