20152022

Research output per year

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Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

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Projects

Research Output

A Cautionary Report for Pathogen Identification Using Shotgun Metagenomics; A Comparison to Aerobic Culture and Polymerase Chain Reaction for Salmonella enterica Identification

Doster, E., Rovira, P., Noyes, N. R., Burgess, B. A., Yang, X., Weinroth, M. D., Linke, L., Magnuson, R., Boucher, C., Belk, K. E. & Morley, P. S., Nov 1 2019, In : Frontiers in Microbiology. 10, 2499.

Research output: Contribution to journalArticle

Open Access
  • Characterization of the Microbial Resistome in Conventional and “Raised Without Antibiotics” Beef and Dairy Production Systems

    Rovira, P., McAllister, T., Lakin, S. M., Cook, S. R., Doster, E., Noyes, N. R., Weinroth, M. D., Yang, X., Parker, J. K., Boucher, C., Booker, C. W., Woerner, D. R., Belk, K. E. & Morley, P. S., Sep 4 2019, In : Frontiers in Microbiology. 10, 1980.

    Research output: Contribution to journalArticle

    Open Access
  • Circulation of Plasmids Harboring Resistance Genes to Quinolones and/or Extended-Spectrum Cephalosporins in Multiple Salmonella enterica Serotypes from Swine in the United States

    Elnekave, E., Hong, S. L., Lim, S., Hayer, S. S., Boxrud, D., Taylor, A. J., Lappi, V., Noyes, N., Johnson, T., Rovira, A., Davies, P. R., Perez, A. M. & Alvareza, J., Apr 2019, In : Antimicrobial agents and chemotherapy. 63, 4, e02602-18.

    Research output: Contribution to journalArticle

  • 2 Scopus citations

    Genome Sequence of Listeria innocua Strain MEZLIS26, Isolated from a Goat in South Africa

    El Zowalaty, M. E., Hickman, R. A., Moura, A., Lecuit, M., Järhultd Oliver Zishiri, J. D. T. & Noyes, N., Oct 31 2019, In : Microbiology Resource Announcements. 8, 44, e00991-19.

    Research output: Contribution to journalArticle

    Open Access
  • 1 Scopus citations

    Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences

    Lakin, S. M., Kuhnle, A., Alipanahi, B., Noyes, N. R., Dean, C., Muggli, M., Raymond, R., Abdo, Z., Prosperi, M., Belk, K. E., Morley, P. S. & Boucher, C., Dec 1 2019, In : Communications biology. 2, 1, 294.

    Research output: Contribution to journalArticle

    Open Access