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。Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis
Christopher J. L. Murray et al.
LANCET (2022)
PowerBacGWAS: a computational pipeline to perform power calculations for bacterial genome-wide association studies
Francesc Coll et al.
COMMUNICATIONS BIOLOGY (2022)
The role of artificial intelligence in the battle against antimicrobial-resistant bacteria
Hul Juan Lau et al.
CURRENT GENETICS (2021)
Applications of Machine Learning to the Problem of Antimicrobial Resistance: an Emerging Model for Translational Research
Melis N. Anahtar et al.
JOURNAL OF CLINICAL MICROBIOLOGY (2021)
A review on machine learning approaches and trends in drug discovery
Paula Carracedo-Reboredo et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2021)
Inhibition of histone deacetylase 1 (HDAC1) and HDAC2 enhances CRISPR/Cas9 genome editing
Bin Liu et al.
NUCLEIC ACIDS RESEARCH (2020)
Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci
Hannah L. Nicholls et al.
FRONTIERS IN GENETICS (2020)
ResFinder 4.0 for predictions of phenotypes from genotypes
Valeria Bortolaia et al.
JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY (2020)
Global disease burden of pathogens in animal source foods, 2010
Min Li et al.
PLOS ONE (2019)
Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data
Allison L. Hicks et al.
PLOS COMPUTATIONAL BIOLOGY (2019)
Using Genomics to Track Global Antimicrobial Resistance
Rene S. Hendriksen et al.
FRONTIERS IN PUBLIC HEALTH (2019)
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella
Marcus Nguyen et al.
JOURNAL OF CLINICAL MICROBIOLOGY (2019)
A review of Salmonella enterica with particular focus on the pathogenicity and virulence factors, host specificity and antimicrobial resistance including multidrug resistance
Saleh Mohammed Jajere
VETERINARY WORLD (2019)
Salmonella epidemiology: A whirlwind of change
John M. Besser
FOOD MICROBIOLOGY (2018)
Variation of MIC measurements: the contribution of strain and laboratory variability to measurement precision
Johan W. Mouton et al.
JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY (2018)
Salmonella infection - prevention and treatment by antibiotics and probiotic yeasts: a review
Abraham Majak Gut et al.
MICROBIOLOGY-SGM (2018)
Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data
Danesh Moradigaravand et al.
PLOS COMPUTATIONAL BIOLOGY (2018)
A fast and agnostic method for bacterial genome-wide association studies: Bridging the gap between k-mers and genetic events
Magali Jaillard et al.
PLOS GENETICS (2018)
Antimicrobial Resistance: Its Surveillance, Impact, and Alternative Management Strategies in Dairy Animals
Chetan Sharma et al.
FRONTIERS IN VETERINARY SCIENCE (2018)
Salmonella infection: Interplay between the bacteria and host immune system
Jonathan R. Kurtz et al.
IMMUNOLOGY LETTERS (2017)
Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads
Ryan R. Wick et al.
PLOS COMPUTATIONAL BIOLOGY (2017)
KMC 3: counting and manipulating k-mer statistics
Marek Kokot et al.
BIOINFORMATICS (2017)
The role of whole genome sequencing in antimicrobial susceptibility testing of bacteria: report from the EUCAST Subcommittee
M. J. Ellington et al.
CLINICAL MICROBIOLOGY AND INFECTION (2017)
Trimmomatic: a flexible trimmer for Illumina sequence data
Anthony M. Bolger et al.
BIOINFORMATICS (2014)
Whole-genome sequencing to control antimicrobial resistance
Claudio U. Koeser et al.
TRENDS IN GENETICS (2014)
The Global Burden of Nontyphoidal Salmonella Gastroenteritis
Shannon E. Majowicz et al.
CLINICAL INFECTIOUS DISEASES (2010)