A package to compute the Robinson Fould distance extended to labeled topologies.
pylabeledrf is a package to compute an extension of the Robinson Foulds tree topological distance between labeled topologies, where inner nodes are labeled with speciation or duplication events.
From version 0.2 onwards, pylabeledrf includes two functions:
- computeLRF(), which computes exactly and efficiently the Labeled Robinson Foulds (LRF).
- computeELRF(), which is a heuristic to compute the edge-based Labeled Robinson Foulds (ELRF).
If you use our package in your work, please consider citing:
- For LRF: Samuel Briand, Christophe Dessimoz, Nadia El-Mabrouk, Yannis Nevers, A linear time solution to the Labeled Robinson-Foulds distance problem, submitted
- For ELRF: Samuel Briand, Christophe Dessimoz, Nadia El-Mabrouk, Manuel Lafond, Gabriela Lobinska, Extending the Robinson-Foulds distance to reconciled trees, APBC 2020 and BMC Genomics, in press
The package requires Python 3 (>=3.6). The easiest way to install is using
pip, to install the package from
pip install pylabeledrf
Documentation is available here.
from pylabeledrf.computeLRF import * import dendropy taxa = dendropy.TaxonNamespace() # retrieve the test TP53 reconciled tree (from Ensembl compara 96) p53 = dendropy.Tree.get_from_url( 'https://raw.githubusercontent.com/DessimozLab/pylabeledrf/master/test/p53.nhx', 'newick', taxon_namespace=taxa) t1 = parseEnsemblLabels(p53) # introduce 5 random edits and compute the distance t2 = mutateLabeledTree(t1, 5) computeLRF(t1,t2) # randomise the labels and compute the distance t3 = randomLabels(t1) computeLRF(t1,t3)
Copyright 2019-2020 Christophe Dessimoz
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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