Taxator-tk: precise taxonomic assignment of metagenomes by fast approximation of evolutionary neighborhoods.

Dröge, J; Gregor, I; McHardy, A C

dc.contributor.author	Dröge, J
dc.contributor.author	Gregor, I
dc.contributor.author	McHardy, A C
dc.date.accessioned	2014-12-15T15:33:28Z
dc.date.available	2014-12-15T15:33:28Z
dc.date.issued	2014-11-10
dc.identifier.citation	Taxator-tk: precise taxonomic assignment of metagenomes by fast approximation of evolutionary neighborhoods. 2014: Bioinformatics	en
dc.identifier.issn	1367-4811
dc.identifier.pmid	25388150
dc.identifier.doi	10.1093/bioinformatics/btu745
dc.identifier.uri	http://hdl.handle.net/10033/337182
dc.description.abstract	Metagenomics characterizes microbial communities by random shotgun sequencing of DNA isolated directly from an environment of interest. An essential step in computational metagenome analysis is taxonomic sequence assignment, which allows identifying the sequenced community members and reconstructing taxonomic bins with sequence data for the individual taxa. For the massive datasets generated by next-generation sequencing technologies, this cannot be performed with de-novo phylogenetic inference methods. We describe an algorithm and the accompanying software, taxator-tk, which performs taxonomic sequence assignment by fast approximate determination of evolutionary neighbors from sequence similarities.
dc.language	ENG
dc.title	Taxator-tk: precise taxonomic assignment of metagenomes by fast approximation of evolutionary neighborhoods.
dc.type	Article	en
dc.contributor.department	Department for Algorithmic Bioinformatics, Heinrich Heine University, Universitätsstraße 1, 40225 Düsseldorf, Germany, Max-Planck Research Group for Computational Genomics and Epidemiology, Max-Planck Institute for Informatics, University Campus E1 4, 66123 Saarbrücken, Germany and Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124 Braunschweig, Germany Department for Algorithmic Bioinformatics, Heinrich Heine University, Universitätsstraße 1, 40225 Düsseldorf, Germany, Max-Planck Research Group for Computational Genomics and Epidemiology, Max-Planck Institute for Informatics, University Campus E1 4, 66123 Saarbrücken, Germany and Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124 Braunschweig, Germany.	en
dc.identifier.journal	Bioinformatics (Oxford, England)	en
refterms.dateFOA	2018-06-14T09:17:41Z
html.description.abstract	Metagenomics characterizes microbial communities by random shotgun sequencing of DNA isolated directly from an environment of interest. An essential step in computational metagenome analysis is taxonomic sequence assignment, which allows identifying the sequenced community members and reconstructing taxonomic bins with sequence data for the individual taxa. For the massive datasets generated by next-generation sequencing technologies, this cannot be performed with de-novo phylogenetic inference methods. We describe an algorithm and the accompanying software, taxator-tk, which performs taxonomic sequence assignment by fast approximate determination of evolutionary neighbors from sequence similarities.