TANGO statistics

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Associated diseases

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TANGO specifications

Information


Unique identifier OMICS_01439
Name TANGO
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
Requirements
Getopt::Long
Maintained Yes

Versioning


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Maintainer


  • person_outline Gabriel Valiente <>

Publications for TANGO

TANGO in publications

 (2)
PMCID: 5865273
PMID: 29028181
DOI: 10.1089/cmb.2017.0144

[…] {empty}\declaremathsizes{10}{9}{7}{6}\begin{document} $$( 1 + 1 + 1 + 1 ) / 12 = 33.33 \%$$ \end{document}, 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: •  […]

PMCID: 4813669
PMID: 26926994
DOI: 10.1084/jem.20151116

[…] 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+/+ […]


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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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