Print Email Facebook Twitter Mycobacterium tuberculosis genomics: The Next Generation Title Mycobacterium tuberculosis genomics: The Next Generation Author Anyansi, C.A. (TU Delft Pattern Recognition and Bioinformatics) Contributor Reinders, M.J.T. (promotor) Abeel, T.E.P.M.F. (copromotor) Degree granting institution Delft University of Technology Date 2021-12-09 Abstract This thesis represents one small step in the battle with TB, where we apply WGS approaches to explore different topics of TB research. Here we offer the global community a method to diagnose complex TB infections consisting of multiple distinct strains. We show that this functionality is necessary and has been overlooked by the TB community in research studies, which might have contributed to poor treatment outcomes. As the increase in samples resistant to multiple antibiotics is a pressing challenge, we explore global trends in antibiotic resistance evolution and have identified a particular order of resistance acquisition for 6 anti-tubercular drugs. This thesis also provides complete assemblies of 18 MTB genomes spanning 7 lineages that was used to analyze MTB’s largest and least studied gene family. Subject tuberculosisgenomicsbioinformaticsglobal healthsequencing To reference this document use: https://doi.org/10.4233/uuid:2276c5ba-1ec3-4ff7-b0fb-141175f4c76f ISBN 978-94-6423-586-9 Part of collection Institutional Repository Document type doctoral thesis Rights © 2021 C.A. Anyansi Files PDF 12960_insidepages_order.pdf 6.79 MB Close viewer /islandora/object/uuid%3A2276c5ba-1ec3-4ff7-b0fb-141175f4c76f/datastream/OBJ/view