Mycobacterium tuberculosis spoligotypes that may derive from mixed strain infections are revealed by a novel computational approach.

Lazzarini, Luiz Claudio O; Rosenfeld, Jeffrey; Huard, Richard C; Hill, Véronique; Lapa e Silva, José Roberto; DeSalle, Rob; Rastogi, Nalin; Ho, John L

Lazzarini, Luiz Claudio O; Rosenfeld, Jeffrey; Huard, Richard C; Hill, Véronique; Lapa e Silva, José Roberto; DeSalle, Rob; Rastogi, Nalin; Ho, John L.

Affiliation

Lazzarini LC; Institute of Thoracic Disease, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.

Infect Genet Evol ; 12(4): 798-806, 2012 Jun.

Article in En | MEDLINE | ID: mdl-21920466

Subject(s)

Computational Biology/methods; Mycobacterium tuberculosis/classification; Software; DNA, Bacterial; Databases, Genetic; Genotype; Humans; Incidence; Internet; Minisatellite Repeats; Molecular Typing; Mycobacterium tuberculosis/genetics; Phylogeny; Phylogeography; Tuberculosis/epidemiology; Tuberculosis/microbiology

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Computational Biology / Mycobacterium tuberculosis Type of study: Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Infect Genet Evol Journal subject: BIOLOGIA / DOENCAS TRANSMISSIVEIS / GENETICA Year: 2012 Type: Article Affiliation country: Brazil

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