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Genomic variant identification methods alter Mycobacterium tuberculosis transmission inference
[article]
2019
bioRxiv
pre-print
Pathogen genomic data are increasingly used to characterize global and local transmission patterns of important human pathogens and to inform public health interventions. Yet there is no current consensus on how to measure genomic variation. We investigated the effects of variant identification approaches on transmission inferences for M. tuberculosis by comparing variants identified by five different groups in the same sequence data from a clonal outbreak. We then measured the performance of
doi:10.1101/733642
fatcat:fgq7oyhkrvgmhhu55tkb5h262e