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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Model trees and associated simulated nucleotide sequences for testing phylogenetic inference methods

Authors: Criscuolo, Alexis;

Model trees and associated simulated nucleotide sequences for testing phylogenetic inference methods

Abstract

This repository contains 142 tar.gz archive files, each containing nucleotide sequence data that have been simulated using INDELible for testing alignment-free phylogenetic inference methods. These datasets were generated by using the results (trees and model parameters) of 142 phylogenomic analyses of real-case data as model (available here). Initial sequence length was 5 Mbs, and an indel rate of 0.01 was set with indel length drawn from [1, 50000] according to a Zipf distribution with parameter 1.5 (see INDELible manual). Each archive contains the following files/directories: GTR.params.trees.tsv a tab-delimited file summarizing the real-case GTR+Γ model parameters and the phylogenetic tree used to simulate the sequence dataset (gathered from https://zenodo.org/record/4034261) tax.tsv a tab-delimited file containing the initial (col 1) and simplified (col 2) taxon names model.nwk a Newick-formatted file containing the initial model tree (gathered from GTR.params.trees.tsv) with simplified leaf names (following tax.tsv) control.txt the INDELible input file used to simulate the evolution of a sequence along the tree in model.nwk seq/ a directory containing the simulated sequences (one FASTA file per leaf in the tree in model.nwk) ___ Criscuolo A (2020) On the transformation of MinHash-based uncorrected distances into proper evolutionary distances for phylogenetic inference. F1000Research, 9:1309. doi:10.12688/f1000research.26930.1

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Keywords

phylogenetics, simulation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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