Search Results - Aytan-Aktug, Derya

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  1. 1
    ResFinder - an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes

    ResFinder - an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes by Florensa, Alfred Ferrer, Kaas, Rolf Sommer, Clausen, Philip Thomas Lanken Conradsen, Aytan-Aktug, Derya, Aarestrup, Frank M

    Published in Microbial genomics
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  2. 2
    Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning

    Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning by Pataki, Bálint Ármin, Matamoros, Sébastien, van der Putten, Boas C. L., Remondini, Daniel, Giampieri, Enrico, Aytan-Aktug, Derya, Hendriksen, Rene S., Lund, Ole, Csabai, István, Schultsz, Constance

    Published in Scientific reports
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  3. 3
    SourceFinder: a Machine-Learning-Based Tool for Identification of Chromosomal, Plasmid, and Bacteriophage Sequences from Assemblies

    SourceFinder: a Machine-Learning-Based Tool for Identification of Chromosomal, Plasmid, and Bacteriophage Sequences from Assemblies by Aytan-Aktug, Derya, Grigorjev, Vladislav, Szarvas, Judit, Clausen, Philip T L C, Munk, Patrick, Nguyen, Marcus, Davis, James J, Aarestrup, Frank M, Lund, Ole

    Published in Microbiology spectrum
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  4. 4
    PlasmidHostFinder: Prediction of Plasmid Hosts Using Random Forest

    PlasmidHostFinder: Prediction of Plasmid Hosts Using Random Forest by Aytan-Aktug, Derya, Clausen, Philip T L C, Szarvas, Judit, Munk, Patrick, Otani, Saria, Nguyen, Marcus, Davis, James J, Lund, Ole, Aarestrup, Frank M

    Published in mSystems
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  5. 5
    A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing [version 2; peer review: 1 approved, 2 approved with reservations]

    A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing [version 2; peer review: 1 approved, 2 approved with... by Petrillo, Mauro, Fabbri, Marco, Kagkli, Dafni Maria, Querci, Maddalena, Van den Eede, Guy, Alm, Erik, Aytan-Aktug, Derya, Capella-Gutierrez, Salvador, Carrillo, Catherine, Cestaro, Alessandro, Chan, Kok-Gan, Coque, Teresa, Endrullat, Christoph, Gut, Ivo, Hammer, Paul, Kay, Gemma L., Madec, Jean-Yves, Mather, Alison E., McHardy, Alice Carolyn, Naas, Thierry, Paracchini, Valentina, Peter, Silke, Pightling, Arthur, Raffael, Barbara, Rossen, John, Ruppé, Etienne, Schlaberg, Robert, Vanneste, Kevin, Weber, Lukas M., Westh, Henrik, Angers-Loustau, Alexandre

    Published in F1000 research
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  6. 6
    A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes

    A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes by VanOeffelen, Margo, Nguyen, Marcus, Aytan-Aktug, Derya, Brettin, Thomas, Dietrich, Emily M, Kenyon, Ronald W, Machi, Dustin, Mao, Chunhong, Olson, Robert, Pusch, Gordon D, Shukla, Maulik, Stevens, Rick, Vonstein, Veronika, Warren, Andrew S, Wattam, Alice R, Yoo, Hyunseung, Davis, James J

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  7. 7
    Data integration for prediction of weight loss in randomized controlled dietary trials

    Data integration for prediction of weight loss in randomized controlled dietary trials by Nielsen, Rikke Linnemann, Helenius, Marianne, Garcia, Sara L., Roager, Henrik M., Aytan-Aktug, Derya, Hansen, Lea Benedicte Skov, Lind, Mads Vendelbo, Vogt, Josef K., Dalgaard, Marlene Danner, Bahl, Martin I., Jensen, Cecilia Bang, Muktupavela, Rasa, Warinner, Christina, Aaskov, Vincent, Gøbel, Rikke, Kristensen, Mette, Frøkiær, Hanne, Sparholt, Morten H., Christensen, Anders F., Vestergaard, Henrik, Hansen, Torben, Kristiansen, Karsten, Brix, Susanne, Petersen, Thomas Nordahl, Lauritzen, Lotte, Licht, Tine Rask, Pedersen, Oluf, Gupta, Ramneek

    Published in Scientific reports
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  8. 8
    A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing [version 1; peer review: 2 approved with reservations]

    A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing [version 1; peer review: 2 approved with reservations... by Petrillo, Mauro, Fabbri, Marco, Kagkli, Dafni Maria, Querci, Maddalena, Van den Eede, Guy, Alm, Erik, Aytan-Aktug, Derya, Capella-Gutierrez, Salvador, Carrillo, Catherine, Cestaro, Alessandro, Chan, Kok-Gan, Coque, Teresa, Endrullat, Christoph, Gut, Ivo, Hammer, Paul, Kay, Gemma L, Madec, Jean-Yves, Mather, Alison E, McHardy, Alice Carolyn, Naas, Thierry, Paracchini, Valentina, Peter, Silke, Pightling, Arthur, Raffael, Barbara, Rossen, John, Ruppé, Etienne, Schlaberg, Robert, Vanneste, Kevin, Weber, Lukas M, Westh, Henrik, Angers-Loustau, Alexandre

    Published in F1000 research
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