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The taming of an impossible child: a standardized all-in approach to the phylogeny of Hymenoptera using public database sequences

Overview of attention for article published in BMC Biology, August 2011
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Title
The taming of an impossible child: a standardized all-in approach to the phylogeny of Hymenoptera using public database sequences
Published in
BMC Biology, August 2011
DOI 10.1186/1741-7007-9-55
Pubmed ID
Authors

Ralph S Peters, Benjamin Meyer, Lars Krogmann, Janus Borner, Karen Meusemann, Kai Schütte, Oliver Niehuis, Bernhard Misof

Abstract

Enormous molecular sequence data have been accumulated over the past several years and are still exponentially growing with the use of faster and cheaper sequencing techniques. There is high and widespread interest in using these data for phylogenetic analyses. However, the amount of data that one can retrieve from public sequence repositories is virtually impossible to tame without dedicated software that automates processes. Here we present a novel bioinformatics pipeline for downloading, formatting, filtering and analyzing public sequence data deposited in GenBank. It combines some well-established programs with numerous newly developed software tools (available at http://software.zfmk.de/).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 5%
Germany 6 3%
Mexico 3 2%
Netherlands 2 1%
Brazil 2 1%
Sweden 2 1%
Switzerland 1 <1%
Australia 1 <1%
Finland 1 <1%
Other 7 4%
Unknown 141 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 26%
Student > Ph. D. Student 35 20%
Student > Master 23 13%
Professor > Associate Professor 16 9%
Professor 13 7%
Other 26 15%
Unknown 16 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 123 71%
Biochemistry, Genetics and Molecular Biology 18 10%
Environmental Science 3 2%
Arts and Humanities 2 1%
Earth and Planetary Sciences 2 1%
Other 3 2%
Unknown 23 13%