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Ti/Tv plots are restricted to a Ti/Tv range of 0.0-4.0. Added column to variant summary specifying the total variant counts (known+novel). Allele spectrum plots now show neutral expectation. 

git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@4411 348d0f76-0448-11de-a6fe-93d51630548a
This commit is contained in:
kiran 2010-10-02 05:15:34 +00:00
parent 64b7b3f83b
commit 6deb755164
1 changed files with 13 additions and 8 deletions
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21
R/gsacommons.R
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@ -222,7 +222,7 @@ plot.titlePage <- function(title, author) {
knownTiTv = eval$TiTv[which(eval$TiTv$jexl_expression == jexl_expression & eval$TiTv$filter_name == "called" & eval$TiTv$novelty_name == "known"),]$ti.tv_ratio;
novelTiTv = eval$TiTv[which(eval$TiTv$jexl_expression == jexl_expression & eval$TiTv$filter_name == "called" & eval$TiTv$novelty_name == "novel"),]$ti.tv_ratio;
cbind(knownVariants, knownTiTv, novelVariants, novelTiTv);
cbind(allVariants, knownVariants, knownTiTv, novelVariants, novelTiTv);
}
plot.variantTable <- function(eval, title) {
@ -241,7 +241,7 @@ plot.variantTable <- function(eval, title) {
sprintf("Called in %s, filtered in %s", eval$CallsetOnlyNames[1], eval$CallsetOnlyNames[2]),
sprintf("Called in %s, absent in %s", eval$CallsetOnlyNames[1], eval$CallsetOnlyNames[2])
);
colnames(variantsummary) = c("counts (known)", "ti/tv (known)", "counts (novel)", "ti/tv (novel)");
colnames(variantsummary) = c("counts (all)", "counts (known)", "ti/tv (known)", "counts (novel)", "ti/tv (novel)");
textplot(variantsummary);
}
@ -322,6 +322,7 @@ plot.alleleCountSpectrum <- function(eval, novelty_name="all", col=c("#FF6342",
aonly = eval.getMetricsByAc(eval, eval$CallsetOnlyNames[1], novelty_name);
aonly.filtered = eval.getMetricsByAc(eval, eval$CallsetFilteredNames[1]);
intersection = eval.getMetricsByAc(eval, "Intersection", novelty_name);
intersection.all = eval.getMetrics(eval, "Intersection");
bonly = eval.getMetricsByAc(eval, eval$CallsetOnlyNames[2], novelty_name);
bonly.filtered = eval.getMetricsByAc(eval, eval$CallsetFilteredNames[2]);
@ -346,6 +347,10 @@ plot.alleleCountSpectrum <- function(eval, novelty_name="all", col=c("#FF6342",
suppressWarnings(points(intersection$AC, bonly$n + intersection$n, type="l", lwd=2, lty=2, col=col[4]));
suppressWarnings(points(intersection$AC, bonly$n + bonly.filtered$n + intersection$n, type="l", lwd=2, col=col[5]));
loci = (unique(eval$CountVariants$nProcessedLoci))[1];
points(c(1:max(intersection$AC)), 0.9*(1/1000)*loci*(1/c(1:max(intersection$AC))), type="l", lwd=2, lty=2, col="black");
legend(
"bottomleft",
c(
@ -353,11 +358,12 @@ plot.alleleCountSpectrum <- function(eval, novelty_name="all", col=c("#FF6342",
sprintf("Intersection + called in %s, absent in %s", eval$CallsetOnlyNames[2], eval$CallsetOnlyNames[1]),
"Intersection",
sprintf("Intersection + called in %s, absent in %s", eval$CallsetOnlyNames[1], eval$CallsetOnlyNames[2]),
sprintf("Intersection + called in %s, absent or filtered in %s", eval$CallsetOnlyNames[1], eval$CallsetOnlyNames[2])
sprintf("Intersection + called in %s, absent or filtered in %s", eval$CallsetOnlyNames[1], eval$CallsetOnlyNames[2]),
sprintf("Neutral expectation ( 0.9*(1/1000)*%d*(1/c(1:max(%d))) )", loci, max(intersection$AC))
),
lwd=c(2, 2, 3, 2, 2),
lty=c(1, 2, 1, 2, 1),
col=rev(col),
lwd=c(2, 2, 3, 2, 2, 2),
lty=c(1, 2, 1, 2, 1, 2),
col=c(rev(col), "black"),
cex=1.3
);
}
@ -411,9 +417,8 @@ plot.titvSpectrum <- function(eval, novelty_name="all", col=c("#FF6342", "#FF967
titv.min = min(titv.aonly.withfiltered.finite, titv.aonly.finite, titv.intersection.finite, titv.bonly.finite, titv.bonly.withfiltered.finite);
titv.max = max(titv.aonly.withfiltered.finite, titv.aonly.finite, titv.intersection.finite, titv.bonly.finite, titv.bonly.withfiltered.finite);
#titv.max = max(titv.aonly.finite, titv.intersection.finite, titv.bonly.finite);
plot(0, 0, type="n", xlim=c(1, length(intersection$AC)), ylim=c(titv.min, 1.2*titv.max), xlab="Allele count", ylab="Transition/transversion (Ti/Tv) ratio", main=title, bty="n", cex=1.3, cex.lab=1.3, cex.axis=1.3);
plot(0, 0, type="n", xlim=c(1, length(intersection$AC)), ylim=c(0, 4), xlab="Allele count", ylab="Transition/transversion (Ti/Tv) ratio", main=title, bty="n", cex=1.3, cex.lab=1.3, cex.axis=1.3);
points(intersection$AC, (aonly.filtered$nTi + intersection$nTi)/(aonly.filtered$nTv + intersection$nTv), type="l", lwd=2, col=col[1]);
points(intersection$AC, (aonly$nTi + intersection$nTi)/(aonly$nTv + intersection$nTv), type="l", lwd=2, lty=2, col=col[2]);
points(intersection$AC, intersection$Ti.Tv, type="l", lwd=2, col=col[3]);