Genomics of antibiotic-resistance prediction in pseudomonas aeruginosa

Annals of the New York Academy of Sciences

Volumn 1435, Issue 1, 2019, Pages 5-17

  Jeukens, Julie ^a   Freschi, Luca ^a   Kukavica Ibrulj, Irena ^a   Emond Rheault, Jean Guillaume ^a   Tucker, Nicholas P ^b   Levesque, Roger C ^a  

^a UNIVERSITÉ LAVAL   (Canada)

^b UNIVERSITY OF STRATHCLYDE   (United Kingdom)

Author keywords

Antibiotic resistance; Emerging technologies; Genomics; In silico prediction

Indexed keywords

VIRULENCE FACTOR;

ANTIBIOTIC RESISTANCE; ANTIBIOTIC RESISTOME; ANTIBIOTIC SENSITIVITY; BACTERIAL GENOME; BACTERIAL STRAIN; BACTERIUM IDENTIFICATION; BACTERIUM ISOLATE; BACTERIUM ISOLATION; BIOINFORMATICS; CLINICAL OUTCOME; COMPUTER MODEL; DNA SEQUENCE; GENE MAPPING; GENE STRUCTURE; GENE TRANSFER; GENOME; GENOME ANALYSIS; GENOMICS; GENOTYPE; GENOTYPING; HUMAN; MACHINE LEARNING; METADATA; MICROBIAL DIVERSITY; MULTIDRUG RESISTANT PSEUDOMONAS AERUGINOSA; NONHUMAN; PATIENT CARE; PHYLOGENY; PLANT DEFENSE; PREDICTION; PREVALENCE; PSEUDOMONAS AERUGINOSA; PSEUDOMONAS INFECTION; REVIEW; SEQUENCE ANALYSIS; VIRULENCE; ANIMAL; COMPUTER SIMULATION; GENETICS; MULTIDRUG RESISTANCE;

ANIMALS; COMPUTER SIMULATION; DRUG RESISTANCE, MULTIPLE, BACTERIAL; HUMANS; PSEUDOMONAS AERUGINOSA; PSEUDOMONAS INFECTIONS;

EID: 85020132186     PISSN: 00778923     EISSN: 17496632     Source Type: Book Series    
DOI: 10.1111/nyas.13358     Document Type: Review

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