Data for: Testing hypotheses of diversification in Panamanian frogs and freshwater fishes using hierarchical approximate Bayesian computation with model averaging

Published: 26 Feb 2018 | Version 2 | DOI: 10.17632/f94kxmwf2n.2
Contributor(s):
  • Justin Bagley,
    Agricultural and Biological Sciences
    Virginia Commonwealth University
  • Michael Hickerson
    Michael Hickerson
    City University of New York
    Helped conceive of, generate, and test computer code for MTML-msBayes.

Description of this data

In support of the manuscript by Bagley et al. (2018), this accession provides scripts and information that were used to conduct MTML-msBayes analyses included in the paper. To meet PeerJ requirements, we also provide files containing the raw data and input files (DNA sequence alignments) that we analyzed in the paper. See the README file, provided in Markdown and PDF formats for additional information on the files contained within this accession, as well as how they were strung together in a UNIX/LINUX pipeline workflow to conduct hierarchical approximate Bayesian computation (hABC) analyses reported in the corresponding manuscript (Bagley et al. 2018). Licensing information is discussed in the README and provided in full in the "LICENSE.md" file.

REFERENCES

Bagley, J.C., Hickerson, M.J. & Johnson, J.B. (2018) Testing hypotheses of diversification in Panamanian frogs and freshwater fishes using hierarchical approximate Bayesian computation with model averaging. PeerJ.

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Previous versions

  • Version 2

    2018-02-26

    Published: 2018-02-26

    DOI: 10.17632/f94kxmwf2n.2

    Cite this dataset

    Bagley, Justin; Hickerson, Michael (2018), “Data for: Testing hypotheses of diversification in Panamanian frogs and freshwater fishes using hierarchical approximate Bayesian computation with model averaging”, Mendeley Data, v2 http://dx.doi.org/10.17632/f94kxmwf2n.2

  • Version 1

    2017-12-01

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Institutions

Virginia Commonwealth University, City University of New York Graduate School and University Center, City College Department of Biology

Categories

Bioinformatics, Biogeography, Shell (Structural Engineering), Bayesian Analysis, Phylogeography

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Licence

GPLv3 Learn more

The files associated with this dataset are licensed under a GNU Public License Version 3 licence.

What does this mean?

The GNU General Public License is a free, copyleft license for software and other kinds of works.

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