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TANGO | Flexible taxonomic assignment of ambiguous sequencing reads

Provides taxonomic assignment a metagenomic dataset. TANGO classifies sequence reads according to their most probable taxonomic rank starting from a reference taxonomy and a set of sequence read alignments. It allows to interrogate multiple taxonomies and to compare taxonomic assignments that rely on competing classifications. The software is convenient for determine taxonomic assignment of ambiguous sequence reads.

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TANGO classification

TANGO specifications

Unique identifier:
Command line interface
Input data:
A taxonomic file such as GreenGenes, RDP or NCBI and a match files obtained from GEM software.
Operating system:
MIT License
Software type:
Restrictions to use:
Output data:
A result file with the assignation of each read to a node of the taxonomy.
Programming languages:
Perl, Python
Computer skills:

TANGO distribution


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TANGO support


  • Gabriel Valiente <>


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Institute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy; Department of Mathematics and Computer Science, Balearic Islands Health Research Institute (IdISBa), University of the Balearic Islands, Palma de Mallorca, Spain; Algorithms, Bioinformatics, Complexity and Formal Methods Research Group, Technical University of Catalonia, Barcelona, Spain

Funding source(s)

Supported, in part, by INMARE (H2020-BG-2014-2, GA 634486), EMBRIC (H2020-INFRADEV-1- 2014-1, GA 654008), EXCELERATE (H2020-INFRADEV-1-2015-1, GA 676559), PRIN 2010 (MIUR, Ministero dell’Istruzione, Universita e Ricerca of Italy), and by the Spanish Ministry of Economy and Competitiveness and European Regional Development Fund project DPI2015-67082-P (MINECO/FEDER).

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