Title |
MUBII-TB-DB: a database of mutations associated with antibiotic resistance in Mycobacterium tuberculosis
|
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Published in |
BMC Bioinformatics, April 2014
|
DOI | 10.1186/1471-2105-15-107 |
Pubmed ID | |
Authors |
Jean-Pierre Flandrois, Gérard Lina, Oana Dumitrescu |
Abstract |
Tuberculosis is an infectious bacterial disease caused by Mycobacterium tuberculosis. It remains a major health threat, killing over one million people every year worldwide. An early antibiotic therapy is the basis of the treatment, and the emergence and spread of multidrug and extensively drug-resistant mutant strains raise significant challenges. As these bacteria grow very slowly, drug resistance mutations are currently detected using molecular biology techniques. Resistance mutations are identified by sequencing the resistance-linked genes followed by a comparison with the literature data. The only online database is the TB Drug Resistance Mutation database (TBDReaM database); however, it requires mutation detection before use, and its interrogation is complex due to its loose syntax and grammar. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Mexico | 1 | <1% |
India | 1 | <1% |
Germany | 1 | <1% |
Unknown | 179 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 37 | 20% |
Researcher | 30 | 16% |
Student > Ph. D. Student | 21 | 12% |
Student > Bachelor | 19 | 10% |
Other | 9 | 5% |
Other | 26 | 14% |
Unknown | 40 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 36 | 20% |
Agricultural and Biological Sciences | 28 | 15% |
Medicine and Dentistry | 14 | 8% |
Immunology and Microbiology | 12 | 7% |
Computer Science | 11 | 6% |
Other | 31 | 17% |
Unknown | 50 | 27% |