Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms
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Title
Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms
Authors
Keywords
Tuberculosis, Drug-resistance, Genomic prediction
Journal
BMC BIOINFORMATICS
Volume 20, Issue 1, Pages -
Publisher
Springer Nature
Online
2019-02-08
DOI
10.1186/s12859-019-2658-z
References
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Related references
Note: Only part of the references are listed.- Genetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries: a multi-country population-based surveillance study
- (2018) Matteo Zignol et al. LANCET INFECTIOUS DISEASES
- Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis
- (2018) Francesc Coll et al. NATURE GENETICS
- The New Xpert MTB/RIF Ultra: Improving Detection of Mycobacterium tuberculosis and Resistance to Rifampin in an Assay Suitable for Point-of-Care Testing
- (2017) Soumitesh Chakravorty et al. mBio
- The epidemiology, pathogenesis, transmission, diagnosis, and management of multidrug-resistant, extensively drug-resistant, and incurable tuberculosis
- (2017) Keertan Dheda et al. Lancet Respiratory Medicine
- Mycobacterium tuberculosis resistance prediction and lineage classification from genome sequencing: comparison of automated analysis tools
- (2017) Viola Schleusener et al. Scientific Reports
- Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center
- (2016) Alice R. Wattam et al. NUCLEIC ACIDS RESEARCH
- Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification
- (2016) Mona Riemenschneider et al. BioData Mining
- Multitask learning improves prediction of cancer drug sensitivity
- (2016) Han Yuan et al. Scientific Reports
- Collaborative Effort for a Centralized Worldwide Tuberculosis Relational Sequencing Data Platform: Figure 1.
- (2015) Angela M. Starks et al. CLINICAL INFECTIOUS DISEASES
- PhyResSE: a Web Tool Delineating Mycobacterium tuberculosis Antibiotic Resistance and Lineage from Whole-Genome Sequencing Data
- (2015) Silke Feuerriegel et al. JOURNAL OF CLINICAL MICROBIOLOGY
- Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis
- (2015) Phelim Bradley et al. Nature Communications
- Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences
- (2015) Francesc Coll et al. Genome Medicine
- KvarQ: targeted and direct variant calling from fastq reads of bacterial genomes
- (2014) Andreas Steiner et al. BMC GENOMICS
- Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction
- (2013) Dominik Heider et al. BIOINFORMATICS
- Rapid Molecular Detection of Tuberculosis and Rifampin Resistance
- (2010) Catharina C. Boehme et al. NEW ENGLAND JOURNAL OF MEDICINE
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