Nothing
.calculateTiTv <- function(object) {
if (!is.element("variantBase", names(fData(object))) |
!is.element("referenceBases", names(fData(object)))) {
stop("Column variantBase or referenceBases is missing.")
}
df = fData(object)
indSNP = nchar(df$referenceBases) == 1 & nchar(df$variantBase) == 1
df = df[indSNP, ]
subMat = matrix(NA, nrow=4, ncol=4,
dimnames=list(c("A", "G", "C", "T"), c("A", "G", "C", "T")))
subMat["A", "G"] = sum(df$referenceBases == "A" & df$variantBase == "G")
subMat["A", "C"] = sum(df$referenceBases == "A" & df$variantBase == "C")
subMat["A", "T"] = sum(df$referenceBases == "A" & df$variantBase == "T")
subMat["G", "A"] = sum(df$referenceBases == "G" & df$variantBase == "A")
subMat["G", "C"] = sum(df$referenceBases == "G" & df$variantBase == "C")
subMat["G", "T"] = sum(df$referenceBases == "G" & df$variantBase == "T")
subMat["C", "A"] = sum(df$referenceBases == "C" & df$variantBase == "A")
subMat["C", "G"] = sum(df$referenceBases == "C" & df$variantBase == "G")
subMat["C", "T"] = sum(df$referenceBases == "C" & df$variantBase == "T")
subMat["T", "A"] = sum(df$referenceBases == "T" & df$variantBase == "A")
subMat["T", "G"] = sum(df$referenceBases == "T" & df$variantBase == "G")
subMat["T", "C"] = sum(df$referenceBases == "T" & df$variantBase == "C")
# A transition is a A <-> G or a C <-> T substitution
# http://www.mun.ca/biology/scarr/Transitions_vs_Transversions.html
# there are twice as many transversion
# expected values: http://www.broadinstitute.org/gsa/wiki/index.php/VariantEval
ti = sum(subMat["A", "G"] + subMat["G", "A"]
+ subMat["C", "T"] + subMat["T", "C"])
tv = sum(subMat, na.rm=TRUE) - ti
return(list(subMat=subMat, TiTv= ti/tv))
}
setMethod("calculateTiTv", signature=signature(object="AVASet"),
.calculateTiTv)
setMethod("calculateTiTv", signature=signature(object="MapperSet"),
.calculateTiTv)
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