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Bits and Pieces

Poster presented at the International Biometric Society Channel Network Conference at St. Andrews

posted 5 Jul 2013, 06:58 by Andy Lynch

 Always tricky when competing with food and wine, but it was good to have the chance to chat to some people about this work. Drawing the mitochondrial genome in R with grid graphics

posted 26 May 2013, 04:31 by Andy Lynch

 Possibly I should be using circos plots for this, but I find them tricky to configure and I don't want to have to break the D-loop into two pieces because of a discontinuity at 0. Therefore I shall raid Paul Murrell's website for the bits of grid graphics technology that I require, MitoMap for the coordinates and try to do it all in R.library(grid)The key to this is the ability to draw a segment of a ring.plotsegment <- function(xc, yc, angle1,angle2,outer,inner,n=50, gp=gpar()) {  t1 <- seq(angle1, angle2, length=n)  x1 <- sin(t1)  y1 <- cos(t1)  xx <- xc + outer*x1  yy <- yc + outer*y1  t2 <- seq(angle1, angle2, length=n)  x2 <- sin(t2)  y2 <- cos(t2)  xxx <- xc + inner*x2  yyy <- yc + inner*y2  grid.path(c(xx, rev(xxx)), c(yy, rev(yyy)),            id=c(rep(1, each=2*n)),            gp=gp)}Then it is just a case of grabbing coordinates from MitoMapDloopStart<-16024DloopEnd<-576+16569tRNAStart<-c(577,1602,3230,4263,4329,             4402,5512,5587,5657,5761,5826,7446,             7518,8259,9991,10405,12138,12207,             12266,14674,15888,15956)tRNAEnd<-c(647,1670,3304,4331,4400,           4469,5579,5655,5729,5826,5891,7514,           7585,8364,10058,10469,12206,12265,           12336,14742,15953,16023)rRNAStart<-c(648,1671)rRNAEnd<-c(1601,3229)geneStart<-c(3307,4470,5904,7586,8366,             8527,9207,10059,10470,10760,12337,             14149,14747)geneEnd<-c(4262,5511,7445,8269,8572,           9207,9990,10404,10766,12137,14148,           14673,15887)I then just need to define the viewport...circlevp <- viewport(x=.1,                   y=.1,                   width=.8,                   height=.8,                   just=c("left", "bottom"),                   name="plotRegion")pushViewport(circlevp)...and get plotting.for(i in 1:13){  plotsegment(0.5,0.5,geneStart[i]*2*pi/16569,geneEnd[i]*2*pi/16569,.5,.4,gp=gpar(fill="red"))  }for(i in 1:22){  plotsegment(0.5,0.5,tRNAStart[i]*2*pi/16569,tRNAEnd[i]*2*pi/16569,.47,.43,gp=gpar(fill="blue"))}for(i in 1:2){  plotsegment(0.5,0.5,rRNAStart[i]*2*pi/16569,rRNAEnd[i]*2*pi/16569,.48,.42,gp=gpar(fill="purple"))}for(i in 1:1){  plotsegment(0.5,0.5,DloopEnd[i]*2*pi/16569,DloopStart[i]*2*pi/16569,.46,.44,gp=gpar(fill="brown"))}I can then add to the plot to get pictures such as this: Clearly there are still things to tidy up, such as the overlap of ND4L and ND4 (and the colour scheme), but this seems to be a useful starting point.

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