Loading...
Publication
inTB - a data integration platform for molecular and clinical epidemiological analysis of tuberculosis
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| main article | 899.2 KB | Adobe PDF | ||
| supplementary material 1 | 801.82 KB | Adobe PDF | ||
| supplementary material 2 | 9.74 KB | Microsoft Excel XML | ||
| supplementary material 3 | 79.33 KB | Adobe PDF | ||
| supplementary material 4 | 88.76 KB | Adobe PDF |
Advisor(s)
Abstract(s)
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.
Description
This deposit is composed by the main article plus the supplementary materials of the publication.
Keywords
Biomedical Research Computational Biology Humans Internet Molecular Epidemiology Molecular Typing User-Computer Interface Database Management Systems Mycobacterium tuberculosis Tuberculosis
Citation
Soares et al. : inTB - a data integration platform for molecular and clinical epidemiological analysis of tuberculosis. BMC Bioinformatics 2013 14 :264.
Publisher
BioMed Central