Web tools for molecular epidemiology of tuberculosis
| Autor: | Kristin P. Bennett, Cagri Ozcaglar, Amina Shabbeer, Bülent Yener |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
DNA
Bacterial Microbiology (medical) Tuberculosis Genotype Population Minisatellite Repeats Computational biology Polymorphism Single Nucleotide Microbiology Genomic databases Management Information Systems Mycobacterium tuberculosis Genetics medicine Humans education Molecular Biology Phylogeny Ecology Evolution Behavior and Systematics Internet education.field_of_study biology Molecular epidemiology business.industry biology.organism_classification medicine.disease Pathogenicity DNA Fingerprinting Biotechnology Phylogeography Management information systems Infectious Diseases Mycobacterium tuberculosis complex Host-Pathogen Interactions Mutation Databases Nucleic Acid business Software |
| Zdroj: | Infection, Genetics and Evolution. 12:767-781 |
| ISSN: | 1567-1348 |
| DOI: | 10.1016/j.meegid.2011.08.019 |
| Popis: | In this study we explore publicly available web tools designed to use molecular epidemiological data to extract information that can be employed for the effective tracking and control of tuberculosis (TB). The application of molecular methods for the epidemiology of TB complement traditional approaches used in public health. DNA fingerprinting methods are now routinely employed in TB surveillance programs and are primarily used to detect recent transmissions and in outbreak investigations. Here we present web tools that facilitate systematic analysis of Mycobacterium tuberculosis complex (MTBC) genotype information and provide a view of the genetic diversity in the MTBC population. These tools help answer questions about the characteristics of MTBC strains, such as their pathogenicity, virulence, immunogenicity, transmissibility, drug-resistance profiles and host-pathogen associativity. They provide an integrated platform for researchers to use molecular epidemiological data to address current challenges in the understanding of TB dynamics and the characteristics of MTBC. |
| Databáze: | OpenAIRE |
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