These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

237 related articles for article (PubMed ID: 32658975)

  • 1. Large-scale assessment of antimicrobial resistance marker databases for genetic phenotype prediction: a systematic review.
    Mahfouz N; Ferreira I; Beisken S; von Haeseler A; Posch AE
    J Antimicrob Chemother; 2020 Nov; 75(11):3099-3108. PubMed ID: 32658975
    [TBL] [Abstract][Full Text] [Related]  

  • 2. External validation of WGS-based antimicrobial susceptibility prediction tools, KOVER-AMR and ResFinder 4.1, for Escherichia coli clinical isolates.
    Verschuuren T; Bosch T; Mascaro V; Willems R; Kluytmans J
    Clin Microbiol Infect; 2022 Nov; 28(11):1465-1470. PubMed ID: 35662642
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Discordant bioinformatic predictions of antimicrobial resistance from whole-genome sequencing data of bacterial isolates: an inter-laboratory study.
    Doyle RM; O'Sullivan DM; Aller SD; Bruchmann S; Clark T; Coello Pelegrin A; Cormican M; Diez Benavente E; Ellington MJ; McGrath E; Motro Y; Phuong Thuy Nguyen T; Phelan J; Shaw LP; Stabler RA; van Belkum A; van Dorp L; Woodford N; Moran-Gilad J; Huggett JF; Harris KA
    Microb Genom; 2020 Feb; 6(2):. PubMed ID: 32048983
    [TBL] [Abstract][Full Text] [Related]  

  • 4. ResFinder 4.0 for predictions of phenotypes from genotypes.
    Bortolaia V; Kaas RS; Ruppe E; Roberts MC; Schwarz S; Cattoir V; Philippon A; Allesoe RL; Rebelo AR; Florensa AF; Fagelhauer L; Chakraborty T; Neumann B; Werner G; Bender JK; Stingl K; Nguyen M; Coppens J; Xavier BB; Malhotra-Kumar S; Westh H; Pinholt M; Anjum MF; Duggett NA; Kempf I; Nykäsenoja S; Olkkola S; Wieczorek K; Amaro A; Clemente L; Mossong J; Losch S; Ragimbeau C; Lund O; Aarestrup FM
    J Antimicrob Chemother; 2020 Dec; 75(12):3491-3500. PubMed ID: 32780112
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Keeping up with the pathogens: improved antimicrobial resistance detection and prediction from Pseudomonas aeruginosa genomes.
    Madden DE; Baird T; Bell SC; McCarthy KL; Price EP; Sarovich DS
    Genome Med; 2024 Jun; 16(1):78. PubMed ID: 38849863
    [TBL] [Abstract][Full Text] [Related]  

  • 6. One Day in Denmark: Comparison of Phenotypic and Genotypic Antimicrobial Susceptibility Testing in Bacterial Isolates From Clinical Settings.
    Rebelo AR; Bortolaia V; Leekitcharoenphon P; Hansen DS; Nielsen HL; Ellermann-Eriksen S; Kemp M; Røder BL; Frimodt-Møller N; Søndergaard TS; Coia JE; Østergaard C; Westh H; Aarestrup FM
    Front Microbiol; 2022; 13():804627. PubMed ID: 35756053
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Use of online tools for antimicrobial resistance prediction by whole-genome sequencing in methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE).
    Babiker A; Mustapha MM; Pacey MP; Shutt KA; Ezeonwuka CD; Ohm SL; Cooper VS; Marsh JW; Doi Y; Harrison LH
    J Glob Antimicrob Resist; 2019 Dec; 19():136-143. PubMed ID: 31005733
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Applying Rapid Whole-Genome Sequencing To Predict Phenotypic Antimicrobial Susceptibility Testing Results among Carbapenem-Resistant Klebsiella pneumoniae Clinical Isolates.
    Tamma PD; Fan Y; Bergman Y; Pertea G; Kazmi AQ; Lewis S; Carroll KC; Schatz MC; Timp W; Simner PJ
    Antimicrob Agents Chemother; 2019 Jan; 63(1):. PubMed ID: 30373801
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Whole genome sequencing (WGS) fails to detect antimicrobial resistance (AMR) from heteroresistant subpopulation of Salmonella enterica.
    Zwe YH; Chin SF; Kohli GS; Aung KT; Yang L; Yuk HG
    Food Microbiol; 2020 Oct; 91():103530. PubMed ID: 32539974
    [TBL] [Abstract][Full Text] [Related]  

  • 10. WGS-Based Prediction and Analysis of Antimicrobial Resistance in
    Rokney A; Valinsky L; Vranckx K; Feldman N; Agmon V; Moran-Gilad J; Weinberger M
    Front Cell Infect Microbiol; 2020; 10():365. PubMed ID: 32903472
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Systematic Evaluation of Whole Genome Sequence-Based Predictions of
    Cooper AL; Low AJ; Koziol AG; Thomas MC; Leclair D; Tamber S; Wong A; Blais BW; Carrillo CD
    Front Microbiol; 2020; 11():549. PubMed ID: 32318038
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The role of whole genome sequencing in antimicrobial susceptibility testing of bacteria: report from the EUCAST Subcommittee.
    Ellington MJ; Ekelund O; Aarestrup FM; Canton R; Doumith M; Giske C; Grundman H; Hasman H; Holden MTG; Hopkins KL; Iredell J; Kahlmeter G; Köser CU; MacGowan A; Mevius D; Mulvey M; Naas T; Peto T; Rolain JM; Samuelsen Ø; Woodford N
    Clin Microbiol Infect; 2017 Jan; 23(1):2-22. PubMed ID: 27890457
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing.
    Marini S; Mora RA; Boucher C; Robertson Noyes N; Prosperi M
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35212354
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The role of whole genome sequencing in monitoring antimicrobial resistance: A biosafety and public health priority in the Arabian Peninsula.
    Alghoribi MF; Balkhy HH; Woodford N; Ellington MJ
    J Infect Public Health; 2018; 11(6):784-787. PubMed ID: 30100241
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Population-based inference of aminoglycoside resistance mechanisms in Escherichia coli.
    Mancini S; Marchesi M; Imkamp F; Wagner K; Keller PM; Quiblier C; Bodendoerfer E; Courvalin P; Böttger EC
    EBioMedicine; 2019 Aug; 46():184-192. PubMed ID: 31307955
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions.
    Prosperi M; Boucher C; Bian J; Marini S
    Artif Intell Med; 2022 Aug; 130():102326. PubMed ID: 35809965
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data.
    Lüftinger L; Májek P; Beisken S; Rattei T; Posch AE
    Front Cell Infect Microbiol; 2021; 11():610348. PubMed ID: 33659219
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Latent class analysis to assess whole-genome sequencing versus broth microdilution for monitoring antimicrobial resistance in livestock.
    Hesp A; Veldman K; Brouwer MSM; Wagenaar JA; Mevius D; van Schaik G
    Prev Vet Med; 2021 Aug; 193():105406. PubMed ID: 34147959
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prevalence of Cefotaxime-Resistant Escherichia coli Isolates from Healthy Cattle and Sheep in Northern Spain: Phenotypic and Genome-Based Characterization of Antimicrobial Susceptibility.
    Tello M; Ocejo M; Oporto B; Hurtado A
    Appl Environ Microbiol; 2020 Jul; 86(15):. PubMed ID: 32471914
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of bacterial antibiotic resistance genes in next-generation sequencing data (review of literature).
    Chaplin AV; Korzhanova M; Korostin DO
    Klin Lab Diagn; 2021 Nov; 66(11):684-688. PubMed ID: 34882354
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.