rotl
is an R package to interact with the Open Tree of Life data APIs. It was
initially developed as part of the
NESCENT/OpenTree/Arbor hackathon.
Client libraries to interact with the Open Tree of Life API also exists for Python and Ruby.
The current stable version is available from CRAN, and can be installed by typing the following at the prompt in R:
install.packages("rotl")
If you want to test the development version, you first need to install devtools.
install.packages("devtools")
Then you can install rotl
using:
library(devtools)
install_github("ropensci/rotl", dependencies = TRUE, build_vignette=TRUE)
To build the vignettes with the development version, you will need to have pandoc 1.12.3 or higher installed. If you use RStudio, make sure you have v0.99 (as it comes with pandoc 1.13.1); if you don't use RStudio, you can find pandoc for your operating system here
There are two vignettes:
-
start by checking out the "How to use
rotl
?" by typing:vignette("how-to-use-rotl", package="rotl")
after installing the package. -
then explore how you can use
rotl
with other packages to combine your data with trees from the Open Tree of Life project by typing:vignette("data_mashups", package="rotl")
.
The vignettes are also available from CRAN:
How to use rotl
?
and Data mashups
Taxonomic names are represented in the Open Tree by numeric identifiers, the
ott_ids
(Open Tree Taxonomy identifiers). To extract a portion of a tree from
the Open Tree, you first need to find ott_ids
for a set of names using the
tnrs_match_names
function:
library(rotl)
apes <- c("Pan", "Pongo", "Pan", "Gorilla", "Hylobates", "Hoolock", "Homo")
(resolved_names <- tnrs_match_names(apes))
## search_string unique_name approximate_match
## 1 pan Pan FALSE
## 2 pongo Pongo FALSE
## 3 pan Pan FALSE
## 4 gorilla Gorilla FALSE
## 5 hylobates Hylobates (genus in Deuterostomia) FALSE
## 6 hoolock Hoolock FALSE
## 7 homo Homo FALSE
## ott_id is_synonym is_deprecated number_matches
## 1 417957 FALSE FALSE 1
## 2 417949 FALSE FALSE 1
## 3 417957 FALSE FALSE 1
## 4 417969 FALSE FALSE 1
## 5 166552 FALSE FALSE 1
## 6 712902 FALSE FALSE 1
## 7 770309 FALSE FALSE 1
Now get the tree with just those tips:
tr <- tol_induced_subtree(ott_ids=resolved_names$ott_id)
plot(tr)
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.