Autor(es): Soares, Patrícia ; Alves, Renato J ; Abecasis, Ana B ; Penha-Gonçalves, Carlos ; Gomes, M Gabriela M ; Pereira-Leal, José B
Data: 2013
Identificador Persistente: http://hdl.handle.net/10400.7/481
Origem: ARCA - Access to Research and Communication Annals
Assunto(s): Biomedical Research; Computational Biology; Humans; Internet; Molecular Epidemiology; Molecular Typing; User-Computer Interface; Database Management Systems; Mycobacterium tuberculosis; Tuberculosis
Tuberculosis is currently the second highest cause of death from infectious diseases worldwide. The emergence of multi and extensive drug resistance is threatening to make tuberculosis incurable. There is growing evidence that the genetic diversity of Mycobacterium tuberculosis may have important clinical consequences. Therefore, combining genetic, clinical and socio-demographic data is critical to understand the epidemiology of this infectious disease, and how virulence and other phenotypic traits evolve over time. This requires dedicated bioinformatics platforms, capable of integrating and enabling analyses of this heterogeneous data.
