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Connection

Keith Belk to Drug Resistance, Microbial

This is a "connection" page, showing publications Keith Belk has written about Drug Resistance, Microbial.

 
Connection Strength
 
 
 
0.792
 
  1. Doster E, Lakin SM, Dean CJ, Wolfe C, Young JG, Boucher C, Belk KE, Noyes NR, Morley PS. MEGARes 2.0: a database for classification of antimicrobial drug, biocide and metal resistance determinants in metagenomic sequence data. Nucleic Acids Res. 2020 01 08; 48(D1):D561-D569.
    View in: PubMed
    Score: 0.170
  2. Lakin SM, Kuhnle A, Alipanahi B, Noyes NR, Dean C, Muggli M, Raymond R, Abdo Z, Prosperi M, Belk KE, Morley PS, Boucher C. Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences. Commun Biol. 2019; 2:294.
    View in: PubMed
    Score: 0.165
  3. Noyes NR, Weinroth ME, Parker JK, Dean CJ, Lakin SM, Raymond RA, Rovira P, Doster E, Abdo Z, Martin JN, Jones KL, Ruiz J, Boucher CA, Belk KE, Morley PS. Enrichment allows identification of diverse, rare elements in metagenomic resistome-virulome sequencing. Microbiome. 2017 10 17; 5(1):142.
    View in: PubMed
    Score: 0.145
  4. Lakin SM, Dean C, Noyes NR, Dettenwanger A, Ross AS, Doster E, Rovira P, Abdo Z, Jones KL, Ruiz J, Belk KE, Morley PS, Boucher C. MEGARes: an antimicrobial resistance database for high throughput sequencing. Nucleic Acids Res. 2017 01 04; 45(D1):D574-D580.
    View in: PubMed
    Score: 0.137
  5. Noyes NR, Yang X, Linke LM, Magnuson RJ, Cook SR, Zaheer R, Yang H, Woerner DR, Geornaras I, McArt JA, Gow SP, Ruiz J, Jones KL, Boucher CA, McAllister TA, Belk KE, Morley PS. Characterization of the resistome in manure, soil and wastewater from dairy and beef production systems. Sci Rep. 2016 Apr 20; 6:24645.
    View in: PubMed
    Score: 0.131
  6. Costard S, Pouzou JG, Belk KE, Morley PS, Schmidt JW, Wheeler TL, Arthur TM, Zagmutt FJ. No Change in Risk for Antibiotic-Resistant Salmonellosis from Beef, United States, 2002-2010. Emerg Infect Dis. 2020 09; 26(9):2108-2117.
    View in: PubMed
    Score: 0.044
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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