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TANGO specifications


Unique identifier OMICS_01439
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data A taxonomic file such as GreenGenes, RDP or NCBI and a match files obtained from GEM software.
Output data A result file with the assignation of each read to a node of the taxonomy.
Operating system Unix/Linux
Programming languages Perl, Python
License MIT License
Computer skills Advanced
Stability Stable
Maintained Yes


No version available


  • person_outline Gabriel Valiente

Publications for TANGO

TANGO citations


Microbiota Composition May Predict Anti Tnf Alpha Response in Spondyloarthritis Patients: an Exploratory Study

Sci Rep
PMCID: 5882885
PMID: 29615661
DOI: 10.1038/s41598-018-23571-4

[…] z-score, indicating a significant decrease of the taxa when a value above the mean gives a positive z-score, corresponding to an increased proportion of the taxa. Ratio-normalized reads assigned with Tango were summed at the order level and z-scores were calculated between M0 and M3 for each patient and filtered by |z|>100 (see Supplemental Table ). Patients that responded well to treatment had fe […]


Unbiased Taxonomic Annotation of Metagenomic Samples

J Comput Biol
PMCID: 5865273
PMID: 29028181
DOI: 10.1089/cmb.2017.0144
call_split See protocol

[…] We have implemented the set cover approach to taxonomic annotation in a next release of the TANGO software (Clemente et al., ; Alonso et al., ), which belongs in the BioMaS (Fosso et al., ) and MetaShot (Fosso et al., ) pipelines. The new implementation of TANGO consists of the following: •  […]


Metagenomics and Bioinformatics in Microbial Ecology: Current Status and Beyond

PMCID: 5017796
PMID: 27383682
DOI: 10.1264/jsme2.ME16024

[…] These databases typically contain the sequences of previously isolated and taxonomically classified strains, whereas they also contain environmental clone sequences. Many bioinformatic tools, such as TANGO (), MetaPhlAn (), and Kraken (), have been developed to improve the computational efficiency, accuracy, and sensitivity of taxonomic assignments. Although these tools perform well for many appli […]


Intestinal microbiota sustains inflammation and autoimmunity induced by hypomorphic RAG defects

PMCID: 4813669
PMID: 26926994
DOI: 10.1084/jem.20151116
call_split See protocol

[…] tie 2 (). The mapping data were filtered according to query coverage (≥70%) and similarity percentage (≥97%) and were stored in a file format suitable for the taxonomic assignment steps. Finally, the Tango tool processed the similarity analysis data to assign the sequences to a taxonomic clade in the NCBI taxonomy (; ). Statistically significant differences of the bacterial population in Rag+/+ an […]


Environmental genes and genomes: understanding the differences and challenges in the approaches and software for their analyses

Brief Bioinform
PMCID: 4570204
PMID: 25673291
DOI: 10.1093/bib/bbv001

[…] ase size. This is an aspect that has not received much attention within the majority of the taxonomic profiling studies. However, some software has been developed to deal with this issue; for example TANGO []. Despite these problems, considerable efforts have been made to develop phylogenetic placement methods for taxonomy profiling in metabarcoding, and various programs with different statistical […]


Analytical Tools and Databases for Metagenomics in the Next Generation Sequencing Era

PMCID: 3794082
PMID: 24124405
DOI: 10.5808/GI.2013.11.3.102

[…] ost processing of a BLAST-aligned output has been suggested to improve assignment accuracy using the lowest common ancestor (LCA) algorithm in MEGAN [] and the optimal consensus method (F-measure) in TANGO []. The probabilistic approach also gives a similar level of accuracy but is much faster than a BLAST search. The naïve Bayesian algorithm [], implemented in RDP, uses 8-mer word-matching for tr […]

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TANGO institution(s)
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
TANGO 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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