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Additional file 2: of Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs

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posted on 2019-06-24, 05:00 authored by Jody E. Phelan, Denise O’Sullivan, Diana Machado, Jorge Ramos, Yaa Oppong, Susana Campino, Justin O’Grady, Ruth McNerney, Martin L. Hibberd, Miguel Viveiros, Jim Huggett, Taane Clark
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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UK National Measurement System and the European Metrology Programme for Innovation and Research

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