Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling
Geoffrey Olweny1, Moses Levi Ntayi1, Edward Kyalo1
1Department of Immunology and Molecular Biology, Makerere University College of Health Sciences, Kampala 256, Uganda; Lung Institute, Makerere University College of Health Sciences, Kampala 256, Uganda.
Abstract:
This protocol describes the steps to determine an airway microbiome signature for identifying Mycobacterium tuberculosis infection status. We outline procedures for processing microbiome data, calculating diversity measures, and fitting Dirichlet multinomial mixture models. Additionally, we provide steps for analyzing taxonomic relative and differential abundances, as well as identifying potential biomarkers associated with infection status. For complete details on the use and execution of this protocol, please refer to Kayongo et al.1.
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