SplitStrains, a tool to identify and separate mixed Mycobacterium tuberculosis infections from WGS data.

Einar Gabbassov,Miguel Moreno-Molina,Iñaki Comas,Maxwell W. Libbrecht,Leonid Chindelevitch

SplitStrains, a tool to identify and separate mixed Mycobacterium tuberculosis infections from WGS data.

2021

Einar Gabbassov
Miguel Moreno-Molina
Iñaki Comas
Maxwell W. Libbrecht
Leonid Chindelevitch

16 p´ginas, 12 figuras, 1 tabla. The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files. Supplementary data files can be found at 10.6084/m9.figshare.14562321.

Keywords:

mixed infection
Virology
Maximum likelihood
Mycobacterium tuberculosis
Mycobacterium tuberculosis Infections
Biology

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