Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection
出版年份 2018 全文链接
标题
Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection
作者
关键词
-
出版物
BMC BIOINFORMATICS
Volume 19, Issue 1, Pages -
出版商
Springer Nature America, Inc
发表日期
2018-10-17
DOI
10.1186/s12859-018-2403-z
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- WGS to predict antibiotic MICs for Neisseria gonorrhoeae
- (2017) David W. Eyre et al. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
- Same-Day Diagnostic and Surveillance Data for Tuberculosis via Whole-Genome Sequencing of Direct Respiratory Samples
- (2017) Antonina A. Votintseva et al. JOURNAL OF CLINICAL MICROBIOLOGY
- Rapid resistome mapping using nanopore sequencing
- (2017) Eric van der Helm et al. NUCLEIC ACIDS RESEARCH
- Biased partitioning of the multidrug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity
- (2017) Tobias Bergmiller et al. SCIENCE
- Compacting de Bruijn graphs from sequencing data quickly and in low memory
- (2016) Rayan Chikhi et al. BIOINFORMATICS
- Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons
- (2016) Alexandre Drouin et al. BMC GENOMICS
- Estimation Stability With Cross-Validation (ESCV)
- (2016) Chinghway Lim et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Sequence element enrichment analysis to determine the genetic basis of bacterial phenotypes
- (2016) John A. Lees et al. Nature Communications
- Identifying lineage effects when controlling for population structure improves power in bacterial association studies
- (2016) Sarah G. Earle et al. Nature Microbiology
- Antimicrobial Resistance Prediction in PATRIC and RAST
- (2016) James J. Davis et al. Scientific Reports
- Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study
- (2015) Timothy M Walker et al. LANCET INFECTIOUS DISEASES
- 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
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- Prediction of Staphylococcus aureus Antimicrobial Resistance by Whole-Genome Sequencing
- (2014) N. C. Gordon et al. JOURNAL OF CLINICAL MICROBIOLOGY
- Genome-wide analysis captures the determinants of the antibiotic cross-resistance interaction network
- (2014) Viktória Lázár et al. Nature Communications
- Association of gyrA/B mutations and resistance levels to fluoroquinolones in clinical isolates of Mycobacterium tuberculosis
- (2014) Jing Li et al. Emerging Microbes & Infections
- Rapid bacterial genome sequencing: methods and applications in clinical microbiology
- (2013) C. Bertelli et al. CLINICAL MICROBIOLOGY AND INFECTION
- Genome sequencing of 161 Mycobacterium tuberculosis isolates from China identifies genes and intergenic regions associated with drug resistance
- (2013) Hongtai Zhang et al. NATURE GENETICS
- Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance
- (2013) Adam C. Palmer et al. NATURE REVIEWS GENETICS
- Genome sequencing in clinical microbiology
- (2012) Jacqueline Z-M Chan et al. NATURE BIOTECHNOLOGY
- Transforming clinical microbiology with bacterial genome sequencing
- (2012) Xavier Didelot et al. NATURE REVIEWS GENETICS
- High-throughput bacterial genome sequencing: an embarrassment of choice, a world of opportunity
- (2012) Nicholas J. Loman et al. NATURE REVIEWS MICROBIOLOGY
- Ray Meta: scalable de novo metagenome assembly and profiling
- (2012) Sébastien Boisvert et al. GENOME BIOLOGY
- Stability selection
- (2010) Nicolai Meinshausen et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started