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"@context": "https://doi.org/10.5063/schema/codemeta-2.0", | ||
"@type": "SoftwareSourceCode", | ||
"identifier": "TreeDist", | ||
"description": "Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for calculating the median of sets of trees, and for computing the information content of trees and splits.", | ||
"description": "Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for identifying islands of trees (Silva and Wilkinson 2021) <doi:10.1093/sysbio/syab015>, for calculating the median of sets of trees, and for computing the information content of trees and splits.", | ||
"name": "TreeDist: Calculate and Map Distances Between Phylogenetic Trees", | ||
"relatedLink": "https://ms609.github.io/TreeDist/", | ||
"codeRepository": "https://github.com/ms609/TreeDist/", | ||
"issueTracker": "https://github.com/ms609/TreeDist/issues/", | ||
"license": "https://spdx.org/licenses/GPL-3.0", | ||
"version": "2.7.1.9002", | ||
"version": "2.7.1.9003", | ||
"programmingLanguage": { | ||
"@type": "ComputerLanguage", | ||
"name": "R", | ||
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"SystemRequirements": "C++17, pandoc-citeproc" | ||
}, | ||
"keywords": ["phylogenetics", "tree-distance"], | ||
"fileSize": "1502.075KB", | ||
"fileSize": "1511.343KB", | ||
"citation": [ | ||
{ | ||
"@type": "ScholarlyArticle", | ||
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"email": "[email protected]" | ||
} | ||
], | ||
"name": "TreeDist: Distances between Phylogenetic Trees. R package version 2.7.1.9002", | ||
"name": "TreeDist: Distances between Phylogenetic Trees. R package version 2.7.1.9003", | ||
"identifier": "10.5281/zenodo.3528124", | ||
"@id": "https://doi.org/10.5281/zenodo.3528124", | ||
"sameAs": "https://doi.org/10.5281/zenodo.3528124", | ||
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