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Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms
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 ReSeqTB that possess both whole genome sequences and drug resistance phenotypes of infecting Mtb isolates. Bioinformatics tools have also been developeddoi:10.1186/s12859-019-2658-z fatcat:zb25shxp55fwjolssfofigatpy