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PhyloTempo: A Set of R Scripts for Assessing and Visualizing Temporal Clustering in Genealogies Inferred from Serially Sampled Viral Sequences
Serially-sampled nucleotide sequences can be used to infer demographic history of evolving viral populations. The shape of a phylogenetic tree often reflects the interplay between evolutionary and ecological processes. Several approaches exist to analyze the topology and traits of a phylogenetic tre...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3382462/ https://www.ncbi.nlm.nih.gov/pubmed/22745529 http://dx.doi.org/10.4137/EBO.S9738 |
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author | Norström, Melissa M. Prosperi, Mattia C.F. Gray, Rebecca R. Karlsson, Annika C. Salemi, Marco |
author_facet | Norström, Melissa M. Prosperi, Mattia C.F. Gray, Rebecca R. Karlsson, Annika C. Salemi, Marco |
author_sort | Norström, Melissa M. |
collection | PubMed |
description | Serially-sampled nucleotide sequences can be used to infer demographic history of evolving viral populations. The shape of a phylogenetic tree often reflects the interplay between evolutionary and ecological processes. Several approaches exist to analyze the topology and traits of a phylogenetic tree, by means of tree balance, branching patterns and comparative properties. The temporal clustering (TC) statistic is a new topological measure, based on ancestral character reconstruction, which characterizes the temporal structure of a phylogeny. Here, PhyloTempo is the first implementation of the TC in the R language, integrating several other topological measures in a user-friendly graphical framework. The comparison of the TC statistic with other measures provides multifaceted insights on the dynamic processes shaping the evolution of pathogenic viruses. The features and applicability of PhyloTempo were tested on serially-sampled intra-host human and simian immunodeficiency virus population data sets. PhyloTempo is distributed under the GNU general public license at https://sourceforge.net/projects/phylotempo/. |
format | Online Article Text |
id | pubmed-3382462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-33824622012-06-28 PhyloTempo: A Set of R Scripts for Assessing and Visualizing Temporal Clustering in Genealogies Inferred from Serially Sampled Viral Sequences Norström, Melissa M. Prosperi, Mattia C.F. Gray, Rebecca R. Karlsson, Annika C. Salemi, Marco Evol Bioinform Online Short Report Serially-sampled nucleotide sequences can be used to infer demographic history of evolving viral populations. The shape of a phylogenetic tree often reflects the interplay between evolutionary and ecological processes. Several approaches exist to analyze the topology and traits of a phylogenetic tree, by means of tree balance, branching patterns and comparative properties. The temporal clustering (TC) statistic is a new topological measure, based on ancestral character reconstruction, which characterizes the temporal structure of a phylogeny. Here, PhyloTempo is the first implementation of the TC in the R language, integrating several other topological measures in a user-friendly graphical framework. The comparison of the TC statistic with other measures provides multifaceted insights on the dynamic processes shaping the evolution of pathogenic viruses. The features and applicability of PhyloTempo were tested on serially-sampled intra-host human and simian immunodeficiency virus population data sets. PhyloTempo is distributed under the GNU general public license at https://sourceforge.net/projects/phylotempo/. Libertas Academica 2012-06-11 /pmc/articles/PMC3382462/ /pubmed/22745529 http://dx.doi.org/10.4137/EBO.S9738 Text en © the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited. |
spellingShingle | Short Report Norström, Melissa M. Prosperi, Mattia C.F. Gray, Rebecca R. Karlsson, Annika C. Salemi, Marco PhyloTempo: A Set of R Scripts for Assessing and Visualizing Temporal Clustering in Genealogies Inferred from Serially Sampled Viral Sequences |
title | PhyloTempo: A Set of R Scripts for Assessing and Visualizing Temporal Clustering in Genealogies Inferred from Serially Sampled Viral Sequences |
title_full | PhyloTempo: A Set of R Scripts for Assessing and Visualizing Temporal Clustering in Genealogies Inferred from Serially Sampled Viral Sequences |
title_fullStr | PhyloTempo: A Set of R Scripts for Assessing and Visualizing Temporal Clustering in Genealogies Inferred from Serially Sampled Viral Sequences |
title_full_unstemmed | PhyloTempo: A Set of R Scripts for Assessing and Visualizing Temporal Clustering in Genealogies Inferred from Serially Sampled Viral Sequences |
title_short | PhyloTempo: A Set of R Scripts for Assessing and Visualizing Temporal Clustering in Genealogies Inferred from Serially Sampled Viral Sequences |
title_sort | phylotempo: a set of r scripts for assessing and visualizing temporal clustering in genealogies inferred from serially sampled viral sequences |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3382462/ https://www.ncbi.nlm.nih.gov/pubmed/22745529 http://dx.doi.org/10.4137/EBO.S9738 |
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