Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase
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Title
Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase
Authors
Keywords
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Journal
Scientific Reports
Volume 8, Issue 1, Pages -
Publisher
Springer Nature America, Inc
Online
2018-10-12
DOI
10.1038/s41598-018-33731-1
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Note: Only part of the references are listed.- A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis
- (2017) Paolo Miotto et al. EUROPEAN RESPIRATORY JOURNAL
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- (2016) Danesh Moradigaravand et al. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
- Whole genome sequencing reveals genomic heterogeneity and antibiotic purification in Mycobacterium tuberculosis isolates
- (2015) PA Black et al. BMC GENOMICS
- Genome sequencing reveals novel deletions associated with secondary resistance to pyrazinamide in MDRMycobacterium tuberculosis
- (2015) Elena Martinez et al. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
- 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
- Integration of Published Information Into a Resistance-Associated Mutation Database for Mycobacterium tuberculosis
- (2015) Hugh Salamon et al. JOURNAL OF INFECTIOUS DISEASES
- Representativeness of Tuberculosis Genotyping Surveillance in the United States, 2009–2010
- (2015) Emma B. Shak et al. PUBLIC HEALTH REPORTS
- Novel katG mutations causing isoniazid resistance in clinical M. tuberculosis isolates
- (2015) Jessica N Torres et al. Emerging Microbes & Infections
- A Collaborative Approach for “ReSeq-ing” Mycobacterium tuberculosis Drug Resistance: Convergence for Drug and Diagnostic Developers
- (2015) Marco Schito et al. EBioMedicine
- TGS-TB: Total Genotyping Solution for Mycobacterium tuberculosis Using Short-Read Whole-Genome Sequencing
- (2015) Tsuyoshi Sekizuka et al. PLoS One
- Genome-wide Mycobacterium tuberculosis variation (GMTV) database: a new tool for integrating sequence variations and epidemiology
- (2014) Ekaterina N Chernyaeva et al. BMC GENOMICS
- PolyTB: A genomic variation map for Mycobacterium tuberculosis
- (2014) Francesc Coll et al. TUBERCULOSIS
- A robust SNP barcode for typing Mycobacterium tuberculosis complex strains
- (2014) Francesc Coll et al. Nature Communications
- Kraken: ultrafast metagenomic sequence classification using exact alignments
- (2014) Derrick E Wood et al. GENOME BIOLOGY
- Consequences ofwhiB7(Rv3197A) Mutations in Beijing Genotype Isolates of the Mycobacterium tuberculosis Complex
- (2013) Claudio U. Köser et al. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
- Alignment of new tuberculosis drug regimens and drug susceptibility testing: a framework for action
- (2013) William A Wells et al. LANCET INFECTIOUS DISEASES
- Prospects for Tuberculosis Elimination
- (2012) Christopher Dye et al. Annual Review of Public Health
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- (2012) Sapna Bamrah et al. Asia-Pacific Journal of Public Health
- Sequence analysis for detection of first-line drug resistance in Mycobacterium tuberculosis strains from a high-incidence setting
- (2012) Silke Feuerriegel et al. BMC MICROBIOLOGY
- A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff
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- Performance of Tuberculosis Drug Susceptibility Testing in U.S. Laboratories from 1994 to 2008
- (2012) P. K. Angra et al. JOURNAL OF CLINICAL MICROBIOLOGY
- Single nucleotide polymorphisms in Mycobacterium tuberculosis and the need for a curated database
- (2012) David Stucki et al. TUBERCULOSIS
- Molecular Detection of Mutations Associated with First- and Second-Line Drug Resistance Compared with Conventional Drug Susceptibility Testing of Mycobacterium tuberculosis
- (2011) Patricia J. Campbell et al. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
- ART: a next-generation sequencing read simulator
- (2011) Weichun Huang et al. BIOINFORMATICS
- Quality control and preprocessing of metagenomic datasets
- (2011) R. Schmieder et al. BIOINFORMATICS
- A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data
- (2011) H. Li BIOINFORMATICS
- Molecular basis and mechanisms of drug resistance in Mycobacterium tuberculosis: classical and new drugs
- (2011) P. E. Almeida Da Silva et al. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
- A framework for variation discovery and genotyping using next-generation DNA sequencing data
- (2011) Mark A DePristo et al. NATURE GENETICS
- Computational tools to study and understand the intricate biology of mycobacteria
- (2011) Deepak Sharma et al. TUBERCULOSIS
- Dindel: Accurate indel calls from short-read data
- (2010) C. A. Albers et al. GENOME RESEARCH
- High genetic diversity among Mycobacterium tuberculosis complex strains from Sierra Leone
- (2008) Susanne Homolka et al. BMC MICROBIOLOGY
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