The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational tools for the analysis of multilocus sequence typing (MLST) data, at http://mgip.biology.gatech.edu. MLST is used to generate allelic profiles to characterize strains of Neisseria meningitidis, a major cause of bacterial meningitis worldwide. Neisseria meningitidis strains are characterized with MLST as specific sequence types (ST) and clonal complexes (CC) based on the DNA sequences at defined loci. These data are vital to molecular epidemiology studies of N. meningitidis, including outbreak investigations and population biology. MGIP analyzes DNA sequence trace files, returns individual allele calls and characterizes the STs and CCs. MGIP represents a substantial advance over existing software in several respects: (i) ease of use-MGIP is user friendly, intuitive and thoroughly documented; (ii) flexibility--because MGIP is a website, it is compatible with any computer with an internet connection, can be used from any geographic location, and there is no installation; (iii) speed--MGIP takes just over one minute to process a set of 96 trace files; and (iv) expandability--MGIP has the potential to expand to more loci than those used in MLST and even to other bacterial species.
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http://dx.doi.org/10.1093/nar/gkp288 | DOI Listing |
Neisseria meningitidis is a common commensal bacterium of the nasopharynx that can cause invasive meningococcal disease (IMD). In comparison, N. gonorrhoeae is always a pathogen usually limited to mucosal sites.
View Article and Find Full Text PDFACS Omega
December 2024
Experiment Research Center, Capital Institute of Pediatrics, Beijing 100020, PR China.
Invasive meningococcal disease, caused by (), is a critical global health issue, necessitating swift and precise diagnostics for effective management and control. Here, we introduce a novel diagnostic assay, NM-RT-MCDA, that combines multiple cross displacement amplification (MCDA) with real-time fluorescence detection, targeting a specific gene region in the genome. The assay utilizes a primer set designed for high specificity and incorporates a fluorophore-quencher pair with a restriction endonuclease site for real-time monitoring.
View Article and Find Full Text PDFLancet Digit Health
December 2024
Nuffield Department of Population Health, University of Oxford, Oxford, UK. Electronic address:
Microbiology reference laboratories perform a crucial role within public health systems. This role was especially evident during the COVID-19 pandemic. In this Viewpoint, we emphasise the importance of microbiology reference laboratories and highlight the types of digital data and expertise they provide, which benefit national and international public health.
View Article and Find Full Text PDFChina CDC Wkly
November 2024
Hebei Provincial Center for Disease Control and Prevention Bacterial Disease Prevention and Disinfection Institute, Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Shijiazhuang City, Hebei Province, China.
What Is Already Known About This Topic?: (Nm) is a bacterial pathogen that causes meningococcal disease. Serogroups A, B, C, W, X, and Y account for the vast majority of cases. However, invasive meningococcal disease (IMD) caused by NmY is rare in China and has been reported only in Tianjin, Guangdong, Shanghai, and Hunan provinces and cities.
View Article and Find Full Text PDFBMC Bioinformatics
December 2024
Synthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, Padua, Italy.
Background: Vaccines development in this millennium started by the milestone work on Neisseria meningitidis B, reporting the invention of Reverse Vaccinology (RV), which allows to identify vaccine candidates (VCs) by screening bacterial pathogens genome or proteome through computational analyses. When NERVE (New Enhanced RV Environment), the first RV software integrating tools to perform the selection of VCs, was released, it prompted further development in the field. However, the problem-solving potential of most, if not all, RV programs is still largely unexploited by experimental vaccinologists that impaired by somehow difficult interfaces, requiring bioinformatic skills.
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