Abstract | ||
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There is growing evidence that the genetic diversity of Mycobacterium tuberculosis may have important clinical consequences. In that sense combining genetic, clinical and demographic data will allow a comprehensive view of the epidemiology of bacterial pathogens and their evolution, helping to explain how virulence and other phenotypic traits evolve in bacterial species over time. [1-2] Hence to understand TB, an integrative approach is needed. Therefore we created MAIS-TB (Molecular Analysis Information System - TB), an informatics system, which integrates molecular analysis of MTB isolates, with clinical and demographic information. This system provides a new tool to access and identify associations between tuberculosis strain types and clinical and epidemiological characteristics of the disease. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-23208-4_16 | ITBAM |
Keywords | Field | DocType |
demographic information,bacterial pathogen,integrated web tool,informatics system,genetic diversity,demographic data,molecular analysis information system,tuberculosis strain type,important clinical consequence,molecular epidemiology analysis,bacterial species,mycobacterium tuberculosis | Informatics,Molecular epidemiology,Disease,Mycobacterium tuberculosis,Genetic diversity,Biology,Bioinformatics,Computational biology,Virulence,Tuberculosis,Phenotypic trait | Conference |
Volume | ISSN | Citations |
6865 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Patricia Soares | 1 | 9 | 2.18 |
Carlos Penha-Gonçalves | 2 | 6 | 1.11 |
M Gabriela M Gomes | 3 | 8 | 1.51 |
José B Pereira-Leal | 4 | 39 | 2.81 |