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 *

238 related articles for article (PubMed ID: 31479500)

  • 21. Genome-Based Prediction of Bacterial Antibiotic Resistance.
    Su M; Satola SW; Read TD
    J Clin Microbiol; 2019 Mar; 57(3):. PubMed ID: 30381421
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Identifying genetic determinants of complex phenotypes from whole genome sequence data.
    Long GS; Hussen M; Dench J; Aris-Brosou S
    BMC Genomics; 2019 Jun; 20(1):470. PubMed ID: 31182025
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Draft genome sequence of a multidrug-resistant OXA-23-producing Acinetobacter baumannii ST191 clinical isolate from China.
    Xu J; Lin W; Xi W; Yao Y
    J Glob Antimicrob Resist; 2017 Sep; 10():8-9. PubMed ID: 28572036
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Machine-learning approaches prevent post-treatment resistance-gaining bacterial recurrences.
    Osman M; Mahieu R; Eveillard M
    Trends Microbiol; 2022 Jul; 30(7):612-614. PubMed ID: 35599112
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains.
    Her HL; Wu YW
    Bioinformatics; 2018 Jul; 34(13):i89-i95. PubMed ID: 29949970
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection.
    Mahé P; Tournoud M
    BMC Bioinformatics; 2018 Oct; 19(1):383. PubMed ID: 30332990
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predicting antimicrobial resistance using conserved genes.
    Nguyen M; Olson R; Shukla M; VanOeffelen M; Davis JJ
    PLoS Comput Biol; 2020 Oct; 16(10):e1008319. PubMed ID: 33075053
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Genome-Based Epidemiological Analysis of 13 Acinetobacter Strains Isolated from Blood Cultures of Hospitalized Patients from a University Hospital in Japan.
    Oinuma KI; Suzuki M; Nakaie K; Sato K; Saeki K; Sakiyama A; Takizawa E; Niki M; Niki M; Yamada K; Shibayama K; Kakeya H; Kaneko Y
    Jpn J Infect Dis; 2019 Jul; 72(4):274-280. PubMed ID: 30814458
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Whole-Genome
    Borrayo-Carbajal E; May-Canche I; Paredes O; Morales JA; Romo-Vázquez R; Vélez-Pérez H
    Genes (Basel); 2020 Feb; 11(2):. PubMed ID: 32075081
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Progress on the development of rapid methods for antimicrobial susceptibility testing.
    Pulido MR; García-Quintanilla M; Martín-Peña R; Cisneros JM; McConnell MJ
    J Antimicrob Chemother; 2013 Dec; 68(12):2710-7. PubMed ID: 23818283
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Interspecies DNA acquisition by a naturally competent Acinetobacter baumannii strain.
    Traglia GM; Place K; Dotto C; Fernandez JS; Montaña S; Bahiense CDS; Soler-Bistue A; Iriarte A; Perez F; Tolmasky ME; Bonomo RA; Melano RG; Ramírez MS
    Int J Antimicrob Agents; 2019 Apr; 53(4):483-490. PubMed ID: 30611868
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Benchmarking of methods for identification of antimicrobial resistance genes in bacterial whole genome data.
    Clausen PT; Zankari E; Aarestrup FM; Lund O
    J Antimicrob Chemother; 2016 Sep; 71(9):2484-8. PubMed ID: 27365186
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes.
    VanOeffelen M; Nguyen M; Aytan-Aktug D; Brettin T; Dietrich EM; Kenyon RW; Machi D; Mao C; Olson R; Pusch GD; Shukla M; Stevens R; Vonstein V; Warren AS; Wattam AR; Yoo H; Davis JJ
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34379107
    [TBL] [Abstract][Full Text] [Related]  

  • 36. WGS to predict antibiotic MICs for Neisseria gonorrhoeae.
    Eyre DW; De Silva D; Cole K; Peters J; Cole MJ; Grad YH; Demczuk W; Martin I; Mulvey MR; Crook DW; Walker AS; Peto TEA; Paul J
    J Antimicrob Chemother; 2017 Jul; 72(7):1937-1947. PubMed ID: 28333355
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Whole-Genome Sequencing of a Large Panel of Contemporary Neisseria gonorrhoeae Clinical Isolates Indicates that a Wild-Type
    Vidyaprakash E; Abrams AJ; Shafer WM; Trees DL
    Antimicrob Agents Chemother; 2017 Apr; 61(4):. PubMed ID: 28193667
    [No Abstract]   [Full Text] [Related]  

  • 38. Predicting Phenotypic Polymyxin Resistance in Klebsiella pneumoniae through Machine Learning Analysis of Genomic Data.
    Macesic N; Bear Don't Walk OJ; Pe'er I; Tatonetti NP; Peleg AY; Uhlemann AC
    mSystems; 2020 May; 5(3):. PubMed ID: 32457240
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Breaking the code of antibiotic resistance.
    Lo SW; Kumar N; Wheeler NE
    Nat Rev Microbiol; 2018 May; 16(5):262. PubMed ID: 29576619
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.