Nothing
setClass("Roche454BaseCallerMetrics",
representation=list(
dataTCAG="data.frame",
dataCATG="data.frame",
lengthTCAG="matrix",
scoreTCAG="matrix",
lengthCATG="matrix",
scoreCATG="matrix"),
prototype=prototype(
dataTCAG=data.frame(),
dataCATG=data.frame(),
lengthTCAG=matrix(),
scoreTCAG=matrix(),
lengthCATG=matrix(),
scoreCATG=matrix()),
)
setClass("Roche454QualityFilterMetrics",
representation=list(
dataTotal="data.frame",
dataTCAG="data.frame",
dataCATG="data.frame"),
prototype=prototype(
dataTotal=data.frame(),
dataTCAG=data.frame(),
dataCATG=data.frame())
)
setClass("AnnotatedVariants",
representation=list(
annotatedVariants="list"),
prototype=prototype(
annotatedVariants=list())
)
setClass("Breakpoints",
representation=list(
seqsC1="list",
seqsC2="list",
commonBpsC1="list",
commonBpsC2="list",
commonAlignC1="list",
commonAlignC2="list",
alignedReadsC1="list",
alignedReadsC2="list"),
prototype=prototype(
seqsC1=list(),
seqsC2=list(),
commonBpsC1=list(),
commonBpsC2=list(),
commonAlignC1=list(),
commonAlignC2=list(),
alignedReadsC1=list(),
alignedReadsC2=list())
)
# AVASet: class definition for the AVASet subclass of the original
# Biobase eSet
# extend object by two slots for amplicon data, two slots for variant filtering
# and a slot for the reference sequences
setClass("AVASet",
contains = "eSet",
representation=list(
assayDataAmp="AssayData",
featureDataAmp="AnnotatedDataFrame",
referenceSequences="AlignedRead",
variantFilterPerc="numeric",
variantFilter="character",
dirs="character"),
prototype=prototype(
assayDataAmp=assayDataNew(),
featureDataAmp=new("AnnotatedDataFrame"),
referenceSequences=new("AlignedRead"),
variantFilterPerc=0,
variantFilter="",
dirs="",
new("VersionedBiobase", versions=c(classVersion("eSet"),
AVASet="0.1"))
)
)
# MapperSet: class definition for the MapperSet subclass of the original
# Biobase eSet
# extend object by two slots for variant filtering
setClass("MapperSet",
contains = "eSet",
representation=list(
variantFilterPerc="numeric",
variantFilter="character",
dirs="character"),
prototype=prototype(
variantFilterPerc=0,
variantFilter="",
dirs="",
new("VersionedBiobase", versions=c(classVersion("eSet"),
MapperSet="0.1"))
)
)
# SFFRead: representation of a single read from a Roche Standard Flowgram Format (SFF) file
setClass("SFFRead",
representation=list(
name = "character",
flowgramFormat = "numeric",
flowChars = "character",
keySequence = "character",
clipQualityLeft = "numeric",
clipQualityRight = "numeric",
clipAdapterLeft = "numeric",
clipAdapterRight = "numeric",
flowgram = "numeric",
flowIndexes = "numeric",
read = "DNAString",
quality = "BString"
),
prototype=prototype(
name = "",
flowgramFormat = 1,
flowChars = "",
keySequence = "",
clipQualityLeft = 0,
clipQualityRight = 0,
clipAdapterLeft = 0,
clipAdapterRight = 0,
flowgram = 0,
flowIndexes = 0,
read = DNAString(),
quality = BString()
),
validity=function(object) {
if(length(read(object)) != length(quality(object)) | length(read(object)) != length(flowIndexes(object)))
return("Read, quality and flowIndexes must be of equal length.")
if(nchar(flowChars(object)) != length(flowgram(object)))
stop("Flowgram and flowChars must be of equal length.")
return(TRUE)
}
)
# SFFContainer: representation of a complete Roche Standard Flowgram Format (SFF) file
setClass("SFFContainer",
representation=list(
name = "character",
flowgramFormat = "numeric",
flowChars = "character",
keySequence = "character",
clipQualityLeft = "numeric",
clipQualityRight = "numeric",
clipAdapterLeft = "numeric",
clipAdapterRight = "numeric",
flowgrams = "list",
flowIndexes = "list",
reads = "QualityScaledDNAStringSet"
),
prototype=prototype(
name = "",
flowgramFormat = 1,
flowChars = "",
keySequence = "",
clipQualityLeft = numeric(0),
clipQualityRight = numeric(0),
clipAdapterLeft = numeric(0),
clipAdapterRight = numeric(0),
flowgrams = list(),
flowIndexes = list(),
reads = QualityScaledDNAStringSet(DNAStringSet(), PhredQuality(""))
),
validity=function(object) {
if(length(reads(object)) != length(flowgrams(object)) |
length(flowgrams(object)) != length(flowIndexes(sff)))
return("Number of reads, flowgram length and flow indexes length must be equal")
return(TRUE)
}
)
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