Additional file 2: of Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs
UKRI| Using host-responses and pathogen genomics to improve diagnostics for tuberculosis in the Philippines ,
FCT| Exploring the mode of action of efflux inhibitors against Mycobacterium tuberculosis: an approach to prevent efflux-mediated resistance and boost therapy in active and latent tuberculosis ,
UKRI| Using whole genome sequencing to characterise drug resistant Mycobacterium tuberculosis in Thailand ,
UKRI| Geographic genetic profiling of human Plasmodium malaria ,
UKRI| Improving the management of sepsis through rapid pathogen and antibiotic resistance detection in blood ,
UKRI| Using genomics to trace Salmonella transmission and antimicrobial resistance (AMR) in the poultry and swine food chains in the Philippines ,
UKRI| Understanding the transmission of tuberculosis using Mycobacterium tuberculosis sequence data
Authors: Phelan, Jody E.; OâSullivan, Denise; Machado, Diana; Ramos, Jorge; Yaa Oppong; Campino, Susana; OâGrady, Justin; +5 Authors
Phelan, Jody E.; OâSullivan, Denise; Machado, Diana; Ramos, Jorge; Yaa Oppong; Campino, Susana; OâGrady, Justin; McNerney, Ruth; Hibberd, Martin L.; Viveiros, Miguel; Huggett, Jim; Taane Clark;
Additional file 2: of Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs
Abstract
Table S1. New features in TBProfiler. Table S2. Distribution of drug resistance types by lineage. Table S3. Number of tested isolates for each drug. Table S4. ENA project codes of isolates used in the study. Table S5. Raw sequence data and mapping statistics for the three MinION sequenced isolates. Table S6. Number of Homozygous and Heterozygous calls per target. Table S7. Predictive performance of the different libraries. Figure S1. Schematic highlighting the main steps in the TBProfiler pipeline. Figure S2. Map showing the geographic origin and the resistance types of isolates used in this study. Figure S3. Example of the report output for an isolate. (PDF 1169 kb)
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UKRI| Using host-responses and pathogen genomics to improve diagnostics for tuberculosis in the Philippines, FCT| Exploring the mode of action of efflux inhibitors against Mycobacterium tuberculosis: an approach to prevent efflux-mediated resistance and boost therapy in active and latent tuberculosis, UKRI| Using whole genome sequencing to characterise drug resistant Mycobacterium tuberculosis in Thailand, UKRI| Geographic genetic profiling of human Plasmodium malaria
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