geiger v2.0: an expanded suite of methods for fitting macroevolutionary models to phylogenetic trees.

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Abstract

Phylogenetic comparative methods are essential for addressing evolutionary hypotheses with interspecific data. The scale and scope of such data have increased dramatically in the past few years. Many existing approaches are either computationally infeasible or inappropriate for data of this size. To address both of these problems, we present geiger v2.0, a complete overhaul of the popular R package geiger. We have reimplemented existing methods with more efficient algorithms and have developed several new approaches for accomodating heterogeneous models and data types.

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Journal

Journal ID (iso-abbrev): Bioinformatics

Title: Bioinformatics (Oxford, England)

ISSN (Electronic): 1367-4811

ISSN (Print): 1367-4803

Publication date (Electronic): Aug 1 2014

Volume: 30

Issue: 15

Affiliations

[1 ] Department of Biological Sciences and Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID 83844, Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA, Department of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia and Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA.

[2 ] Department of Biological Sciences and Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID 83844, Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA, Department of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia and Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, USADepartment of Biological Sciences and Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID 83844, Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA, Department of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia and Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Article

Publisher Item ID: btu181

DOI: 10.1093/bioinformatics/btu181

PubMed ID: 24728855

SO-VID: f73f49ae-8314-46ec-a8f7-452857ad555c

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