phylogram
phylogram: an R package for phylogenetic analysis with nested lists - Published in JOSS (2018)
Science Score: 93.0%
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Published in Journal of Open Source Software
Keywords
Repository
Dendrograms for Evolutionary Analysis
Basic Info
- Host: GitHub
- Owner: ropensci
- Language: R
- Default Branch: master
- Homepage: https://docs.ropensci.org/phylogram
- Size: 939 KB
Statistics
- Stars: 11
- Watchers: 7
- Forks: 3
- Open Issues: 3
- Releases: 3
Topics
Metadata Files
README.md
phylogram
The phylogram R package is a tool for for developing phylogenetic trees as deeply-nested lists known as "dendrogram" objects. It provides functions for conversion between "dendrogram" and "phylo" class objects, as well as several tools for command-line tree manipulation and import/export via Newick parenthetic text. This improves accessibility to the comprehensive range of object-specific analytical and tree-visualization functions found across a wide array of bioinformatic R packages.
Installation
To download phylogram from CRAN and load the package, run
R
install.packages("phylogram")
library("phylogram")
To download the latest development version from GitHub, run:
R
devtools::install_github("ropensci/phylogram", build_vignettes = TRUE)
library("phylogram")
Example: reading and writing trees
Consider the simple example of a tree with three members named
"A", "B" and "C", where "B" and "C" are more closely related
to eachother than they are to "A".
An unweighted Newick string for this tree would be "(A,(B,C));".
This text can be imported as a
dendrogram object using the read.dendrogram function
as follows:
R
library("phylogram")
newick <- "(A,(B,C));"
x <- read.dendrogram(text = newick)
plot(x)
The following command writes the object back to the console in Newick format without edge weights:
R
write.dendrogram(x, edges = FALSE)
The syntax is similar when reading and writing text files,
except that the text argument is replaced by file and a
valid file path is passed to the function.
To convert the dendrogram to a "phylo" object, run
R
y <- as.phylo(x)
These and more examples are available in the package vignette.
To view the vignette, run vignette("phylogram-vignette") or access it
directly from CRAN.
Help
An overview of the package with links to the function documentation can be found by running
R
?phylogram
If you experience a problem using this package please either raise it as an issue on GitHub or post it on the phylogram google group.
Acknowledgements
This software was developed at Victoria University of Wellington with funding from a Rutherford Foundation Postdoctoral Research Fellowship award from the Royal Society of New Zealand.
Owner
- Name: rOpenSci
- Login: ropensci
- Kind: organization
- Email: info@ropensci.org
- Location: Berkeley, CA
- Website: https://ropensci.org/
- Twitter: rOpenSci
- Repositories: 307
- Profile: https://github.com/ropensci
JOSS Publication
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GitHub Events
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Last Year
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| shaunpwilkinson | s****n@g****m | 85 |
| rOpenSci Bot | m****t@g****m | 1 |
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 3
- Total pull requests: 0
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- Average comments per issue: 0.33
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Past Year
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Top Authors
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- seymoo (1)
- sekhwal (1)
- limin321 (1)
Pull Request Authors
Top Labels
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Packages
- Total packages: 2
-
Total downloads:
- cran 595 last-month
- Total docker downloads: 21,383
-
Total dependent packages: 6
(may contain duplicates) -
Total dependent repositories: 9
(may contain duplicates) - Total versions: 6
- Total maintainers: 1
cran.r-project.org: phylogram
Dendrograms for Evolutionary Analysis
- Homepage: http://github.com/ropensci/phylogram
- Documentation: http://cran.r-project.org/web/packages/phylogram/phylogram.pdf
- License: GPL-3
-
Latest release: 2.1.0
published over 7 years ago
Rankings
Maintainers (1)
conda-forge.org: r-phylogram
- Homepage: http://github.com/ropensci/phylogram
- License: GPL-3.0-only
-
Latest release: 2.1.0
published over 5 years ago
Rankings
Dependencies
- ape >= 4.0 imports
- methods * imports
- stats * imports
- dendextend * suggests
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests

