Author Correction: Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase
| العنوان: | Author Correction: Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase |
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| المؤلفون: | Timothy C. Rodwell, Thomas Kohl, Angela M. Starks, Álvaro Chiner-Oms, David M. Engelthaler, Paolo Miotto, Amanda Borens, Marco Schito, David Alland, Matteo Zignol, Sebastien Gagneux, Christopher Gilpin, Keertan Dheda, Sven Hoffner, Stefan Niemann, Ruth McNerney, Robin M. Warren, James E. Posey, Iñaki Comas, Debra Hanna, Leonid Chindelevitch, Richard Liwski, Leen Rigouts, Derrick W. Crook, Daniela Maria Cirillo, Christoph Lange, Camilla Rodrigues, Rumina Hasan, Matthew Ezewudo |
| المساهمون: | Medical Research Council (MRC) |
| المصدر: | Scientific Reports Scientific reports, vol 10, iss 1 Scientific Reports, Vol 10, Iss 1, Pp 1-1 (2020) |
| بيانات النشر: | Nature Publishing Group UK, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Whole genome sequence analysis, Genotype, Knowledge Bases, Antitubercular Agents, lcsh:Medicine, Computational biology, Polymorphism, Single Nucleotide, Mycobacterium tuberculosis, Antibiotic resistance, Bacterial Proteins, Drug Resistance, Multiple, Bacterial, Tuberculosis, Multidrug-Resistant, Humans, lcsh:Science, Author Correction, Multidisciplinary, biology, Whole Genome Sequencing, lcsh:R, Sequence Analysis, DNA, biology.organism_classification, Good Health and Well Being, Mutation, lcsh:Q, Infection, Genome, Bacterial |
| الوصف: | Drug-resistant tuberculosis poses a persistent public health threat. The ReSeqTB platform is a collaborative, curated knowledgebase, designed to standardize and aggregate global Mycobacterium tuberculosis complex (MTBC) variant data from whole genome sequencing (WGS) with phenotypic drug susceptibility testing (DST) and clinical data. We developed a unified analysis variant pipeline (UVP) ( https://github.com/CPTR-ReSeqTB/UVP ) to identify variants and assign lineage from MTBC sequence data. Stringent thresholds and quality control measures were incorporated in this open source tool. The pipeline was validated using a well-characterized dataset of 90 diverse MTBC isolates with conventional DST and DNA Sanger sequencing data. The UVP exhibited 98.9% agreement with the variants identified using Sanger sequencing and was 100% concordant with conventional methods of assigning lineage. We analyzed 4636 publicly available MTBC isolates in the ReSeqTB platform representing all seven major MTBC lineages. The variants detected have an above 94% accuracy of predicting drug based on the accompanying DST results in the platform. The aggregation of variants over time in the platform will establish confidence-graded mutations statistically associated with phenotypic drug resistance. These tools serve as critical reference standards for future molecular diagnostic assay developers, researchers, public health agencies and clinicians working towards the control of drug-resistant tuberculosis. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2045-2322 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e27061e6ae2a9b45d4b287f9f709b58 http://europepmc.org/articles/PMC7035347 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....5e27061e6ae2a9b45d4b287f9f709b58 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20452322 |
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