A R-sig-phylo question yesterday read as follows (very slightly paraphrased):
“Given a large newick tree e.g. from the new open tree of life (304959 tips)
I want to calculate a pairwise distance between a small subset of species. The
tricks I've seen so far [Ed. ape::cophenetic
, which computes a N
× N patristic distance for a tree with N tips] do not work on
a tree of that size. I want to determine single species to single
species distances without having an algorithm attempt to calculate the
distance for all possible species (which is what ape is doing). Is there a
package/trick to accomplish this?”
As a matter of fact,
this can be done in a reasonably efficient way using the phytools function
fastHeight
, which computes the height above the root of the MRCA of
any pair of species. That is because, for two species i and j,
the patristic distane between them is simply the sum of the heights above the
root for species i and j minus two times the height above the root
of the common ancestor of i & j.
To show that this works fairly well, let's try to write a little custom function,
fastDist
, to compute this distance using the heights as mentioned:
library(phytools)
fastDist<-function(tree,sp1,sp2){
fastHeight(tree,sp1,sp1)+fastHeight(tree,sp2,sp2)-
2*fastHeight(tree,sp1,sp2)
}
Now, let's test it on a somewhat large tree:
## simulate tree at random
tree<-rtree(n=5000)
sp1<-sample(tree$tip.label)[1]
sp1
## [1] "t941"
sp2<-sample(tree$tip.label)[2]
sp2
## [1] "t2799"
## compute using cophenetic
system.time(d<-cophenetic(tree)[sp1,sp2])
## user system elapsed
## 5.20 0.68 5.96
d
## [1] 11.34199
## compute using fastDist
system.time(d<-fastDist(tree,sp1,sp2))
## user system elapsed
## 0.05 0.00 0.04
d
## [1] 11.34199
Having done that, let's go for broke with a tree of 304,959, just as described:
tree<-rtree(n=304959)
tree
##
## Phylogenetic tree with 304959 tips and 304958 internal nodes.
##
## Tip labels:
## t51258, t83258, t60186, t263493, t117091, t210153, ...
##
## Rooted; includes branch lengths.
sp1<-sample(tree$tip.label)[1]
sp1
## [1] "t51585"
sp2<-sample(tree$tip.label)[2]
sp2
## [1] "t244730"
## just to check that our MRCA is not the root
fastMRCA(tree,sp1,sp2)
## [1] 427604
## compute using fastDist
system.time(d<-fastDist(tree,sp1,sp2))
## user system elapsed
## 4.80 1.34 6.21
d
## [1] 12.93951
Cool.
Just for the heck of it, I have also added this function to phytools & it is available from GitHub already.
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