Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction a...
Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
It is possible to predict whether a tuberculosis (TB) patient will fail to respond to specific antibiotics by sequencing the genome of the infecting Mycobacterium tuberculosis (Mtb) and observing whether the pathogen carries specific mutations at drug-resistance sites. This advancement has led to the collation of TB databases such as PATRIC and ReS...
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Full title
Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms
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TN_cdi_doaj_primary_oai_doaj_org_article_ed4a684aa08f42e9ad4a63ddfe82cbfb
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ed4a684aa08f42e9ad4a63ddfe82cbfb
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-019-2658-z
