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METAXA2: improved identification and taxonomic classification of small and large subunit rRNA in metagenomic data.
Bengtsson-Palme, Johan; Hartmann, Martin; Eriksson, Karl Martin; Pal, Chandan; Thorell, Kaisa; Larsson, Dan Göran Joakim; Nilsson, Rolf Henrik.
Afiliação
  • Bengtsson-Palme J; Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10, 413 46, Gothenburg, Sweden.
  • Hartmann M; Forest Soils and Biogeochemistry, Swiss Federal Research Institute WSL, CH-8903 Birmensdorf, Switzerland.
  • Eriksson KM; Molecular Ecology, Institute for Sustainability Sciences, Agroscope, CH-8046 Zurich, Switzerland.
  • Pal C; Department of Shipping and Marine Technology, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
  • Thorell K; Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10, 413 46, Gothenburg, Sweden.
  • Larsson DG; Department of Microbiology and Immunology, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Box 435, 40530 Gothenburg, Sweden.
  • Nilsson RH; Department of Chemical and Biological Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
Mol Ecol Resour ; 15(6): 1403-14, 2015 Nov.
Article em En | MEDLINE | ID: mdl-25732605
The ribosomal rRNA genes are widely used as genetic markers for taxonomic identification of microbes. Particularly the small subunit (SSU; 16S/18S) rRNA gene is frequently used for species- or genus-level identification, but also the large subunit (LSU; 23S/28S) rRNA gene is employed in taxonomic assignment. The METAXA software tool is a popular utility for extracting partial rRNA sequences from large sequencing data sets and assigning them to an archaeal, bacterial, nuclear eukaryote, mitochondrial or chloroplast origin. This study describes a comprehensive update to METAXA - METAXA2 - that extends the capabilities of the tool, introducing support for the LSU rRNA gene, a greatly improved classifier allowing classification down to genus or species level, as well as enhanced support for short-read (100 bp) and paired-end sequences, among other changes. The performance of METAXA2 was compared to other commonly used taxonomic classifiers, showing that METAXA2 often outperforms previous methods in terms of making correct predictions while maintaining a low misclassification rate. METAXA2 is freely available from http://microbiology.se/software/metaxa2/.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de DNA / Biologia Computacional / Metagenômica Tipo de estudo: Diagnostic_studies / Evaluation_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de DNA / Biologia Computacional / Metagenômica Tipo de estudo: Diagnostic_studies / Evaluation_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article