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A Format for Phylogenetic Placements

Overview of attention for article published in PLOS ONE, February 2012
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Title
A Format for Phylogenetic Placements
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0031009
Pubmed ID
Authors

Frederick A. Matsen, Noah G. Hoffman, Aaron Gallagher, Alexandros Stamatakis

Abstract

We have developed a unified format for phylogenetic placements, that is, mappings of environmental sequence data (e.g., short reads) into a phylogenetic tree. We are motivated to do so by the growing number of tools for computing and post-processing phylogenetic placements, and the lack of an established standard for storing them. The format is lightweight, versatile, extensible, and is based on the JSON format, which can be parsed by most modern programming languages. Our format is already implemented in several tools for computing and post-processing parsimony- and likelihood-based phylogenetic placements and has worked well in practice. We believe that establishing a standard format for analyzing read placements at this early stage will lead to a more efficient development of powerful and portable post-analysis tools for the growing applications of phylogenetic placement.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Netherlands 1 <1%
Australia 1 <1%
Brazil 1 <1%
Germany 1 <1%
Canada 1 <1%
Sweden 1 <1%
Spain 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 132 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 28%
Researcher 32 22%
Student > Master 17 12%
Student > Bachelor 16 11%
Student > Doctoral Student 9 6%
Other 18 13%
Unknown 12 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 50%
Biochemistry, Genetics and Molecular Biology 21 15%
Computer Science 12 8%
Environmental Science 6 4%
Immunology and Microbiology 4 3%
Other 11 8%
Unknown 18 13%