Protocol for identifying Mycobacterium tuberculosis infection status through airway microbiome profiling

Abstract

Summary: 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 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.

Keywords

• bioinformatics
• immunology
• microbiology