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https://github.com/ms609/treesearch
R package for phylogenetic tree search under custom optimality criteria
https://github.com/ms609/treesearch
bioinformatics morphological-analysis phylogenetics r-package research-tool tree-search
Last synced: 7 days ago
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R package for phylogenetic tree search under custom optimality criteria
- Host: GitHub
- URL: https://github.com/ms609/treesearch
- Owner: ms609
- License: gpl-3.0
- Created: 2017-07-24T09:09:45.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-05-29T07:38:40.000Z (8 months ago)
- Last Synced: 2024-05-29T07:47:21.630Z (8 months ago)
- Topics: bioinformatics, morphological-analysis, phylogenetics, r-package, research-tool, tree-search
- Language: R
- Homepage: https://ms609.github.io/TreeSearch/
- Size: 117 MB
- Stars: 5
- Watchers: 5
- Forks: 4
- Open Issues: 32
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codemeta: codemeta.json
Awesome Lists containing this project
README
# TreeSearch
[![codecov](https://codecov.io/gh/ms609/TreeSearch/branch/master/graph/badge.svg)](https://codecov.io/gh/ms609/TreeSearch)
[![CRAN Status Badge](http://www.r-pkg.org/badges/version/TreeSearch)](https://cran.r-project.org/package=TreeSearch)
[![CRAN RStudio mirror downloads](http://cranlogs.r-pkg.org/badges/TreeSearch)](https://cran.r-project.org/package=TreeSearch)
[![CRAN RStudio mirror downloads](http://cranlogs.r-pkg.org/badges/grand-total/TreeSearch)](https://cran.r-project.org/package=TreeSearch)
[![DOI](https://zenodo.org/badge/98171642.svg)](https://zenodo.org/badge/latestdoi/98171642)
[![Project Status: Active – – The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active)"TreeSearch" (Smith 2023) is an R package that contains a "shiny" user interface for
interactive tree search and exploration of results, including character
visualization,
[rogue taxon detection](https://ms609.github.io/Rogue) (Smith 2022a),
[tree space mapping](https://ms609.github.io/TreeDist/articles/treespace.html)
(Smith 2022b),
and cluster consensus trees.Inapplicable character states are handled using the algorithm of Brazeau,
Guillerme and Smith (2019) using the "Morphy" C library (Brazeau _et al_. 2017).
Implied weighting (Goloboff, 1993),
Profile Parsimony (Faith and Trueman, 2001)
and Successive Approximations (Farris, 1969)
are implemented;
[custom optimality criteria](https://ms609.github.io/TreeSearch/articles/custom.html)
and search approaches can also be defined.# Installing in R
Full installation instructions, including notes on installing R, are available
in a [vignette](https://ms609.github.io/TreeSearch/articles/getting-started.html).Install and load the stable version from CRAN as follows:
```r
install.packages("TreeSearch")
library("TreeSearch")
# Launch the Shiny App with:
TreeSearch::EasyTrees()
```Install and load the development version of "TreeSearch" with:
```r
if(!require("curl")) install.packages("curl")
if(!require("remotes")) install.packages("remotes")
remotes::install_github("ms609/TreeSearch")
library("TreeSearch")
```# Installing stand-alone application
The TreeSearch user interface can be run as a stand-alone application without
installing R.
[Download](https://github.com/ms609/TreeSearch/releases) the latest release for your platform.
If your preferred platform is not supported, please contact the maintainer.## Installation on Windows
You may need to obtain the [ffmpeg library](https://community.chocolatey.org/packages/ffmpeg)
before you can run TreeSearch.This is best installed using ['Chocolatey'](https://chocolatey.org/).
Once chocolatey is installed, open a PowerShell window with administrative privileges, and
type `choco install ffmpeg`; then restart your computer.# Quick start
Launch a graphical user interface by typing `TreeSearch::EasyTrees()` in the R console.
For more control over search settings, see [`?MaximizeParsimony()`](https://ms609.github.io/TreeSearch/reference/MaximizeParsimony.html).
![Flow charts listing common actions facilitated by TreeSearch](man/figures/Flow.svg)
# Documentation
- [Package functions](https://ms609.github.io/TreeSearch/reference) reference manual
- [Getting started](https://ms609.github.io/TreeSearch/articles/getting-started.html)
- [Using the GUI](https://ms609.github.io/TreeSearch/articles/tree-search.html)
- [Analysing tree spaces](https://ms609.github.io/TreeSearch/articles/tree-space.html)
- [Loading phylogenetic data into R](https://ms609.github.io/TreeTools/articles/load-data.html)
- [Parsimony search with inapplicable data](https://ms609.github.io/TreeSearch/articles/tree-search.html)- [Calculating concavity profiles](https://ms609.github.io/TreeSearch/articles/profile-scores.html) for Profile Parsimony
- [Tree search with profile parsimony](https://ms609.github.io/TreeSearch/articles/profile.html)'TreeSearch' uses [semantic versioning](https://semver.org/).
Please note that the 'TreeSearch' project is released with a
[Contributor Code of Conduct](CODE_OF_CONDUCT.md).
By contributing to this project, you agree to abide by its terms.# References
Brazeau M. D., Smith M. R., Guillerme T. (2017).
MorphyLib: a library for phylogenetic analysis of categorical trait data with inapplicability.
doi: [10.5281/zenodo.815372](https://doi.org/10.5281/zenodo.815372).Brazeau, M. D., Guillerme, T. and Smith, M. R. (2019).
An algorithm for morphological phylogenetic analysis with inapplicable data.
Systematic Biology, 68(4), 619-631.
doi: [10.1093/sysbio/syy083](https://dx.doi.org/10.1093/sysbio/syy083).Faith D. P., Trueman J. W. H. (2001).
Towards an inclusive philosophy for phylogenetic inference.
Systematic Biology, 50(3), 331–350.
doi: [10.1080/10635150118627](https://doi.org/10.1080/10635150118627).Farris, J. S. (1969). A successive approximations approach to character weighting.
Systematic Biology, 18(4), 374–385.
doi: [10.2307/2412182](https://dx.doi.org/10.2307/2412182).Goloboff, P. A. (1993).
Estimating character weights during tree search.
Cladistics, 9(1), 83–91.
doi: [10.1111/j.1096-0031.1993.tb00209.x](https://doi.org/10.1111/j.1096-0031.1993.tb00209.x).Goloboff, P. A., Torres, A., Arias, J. S. (2018).
Weighted parsimony outperforms other methods of phylogenetic inference under
models appropriate for morphology.
Cladistics, 34(4), 407–437. doi: [10.1111/cla.12205](https://doi.org/10.1111/cla.12205).Smith, M. R. (2022a).
Using information theory to detect rogue taxa and improve phylogenetic trees.
Systematic Biology, 71(5), 1088–1094.
doi: [10.1093/sysbio/syab099](https://dx.doi.org/10.1093/sysbio/syab099)Smith, M. R. (2022b).
Robust analysis of phylogenetic tree space.
Systematic Biology, 71(5), 1255–1270.
doi: [10.1093/sysbio/syab100](https://dx.doi.org/10.1093/sysbio/syab100)Smith, M. R. (2023).
TreeSearch: morphological phylogenetic analysis in R.
R Journal, 14(4), 305-315. doi: [10.32614/RJ-2023-019](https://doi.org/10.32614/RJ-2023-019)