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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity.
Watts, George S; Thornton, James E; Youens-Clark, Ken; Ponsero, Alise J; Slepian, Marvin J; Menashi, Emmanuel; Hu, Charles; Deng, Wuquan; Armstrong, David G; Reed, Spenser; Cranmer, Lee D; Hurwitz, Bonnie L.
Afiliação
  • Watts GS; University of Arizona Cancer Center and Department of Pharmacology, University of Arizona, Tucson, Arizona, United States of America.
  • Thornton JE; Department of Biosystems Engineering, University of Arizona, Tucson, Arizona, United States of America.
  • Youens-Clark K; Department of Biosystems Engineering, University of Arizona, Tucson, Arizona, United States of America.
  • Ponsero AJ; Department of Biosystems Engineering, University of Arizona, Tucson, Arizona, United States of America.
  • Slepian MJ; Department of Medicine, University of Arizona, Tucson, Arizona, United States of America.
  • Menashi E; Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, United States of America.
  • Hu C; Arizona Center for Accelerated Biomedical Innovation, University of Arizona, Tucson, Arizona, United States of America.
  • Deng W; Honor Health Hospital, Scottsdale, Arizona, United States of America.
  • Armstrong DG; Dignity Health Chandler Regional Medical Center, Chandler, Arizona, United States of America.
  • Reed S; Department of Endocrinology, Multidisciplinary Diabetic Foot Medical Center, Affiliated Central Hospital of Chongqing University, Chongqing, China.
  • Cranmer LD; Southwestern Academic Limb Salvage Alliance (SALSA), Department of Surgery, Keck School of Medicine of University of Southern California, Los Angeles, California, United States of America.
  • Hurwitz BL; University of Arizona Department of Family and Community Medicine, Tucson, Arizona, United States of America.
PLoS Comput Biol ; 15(11): e1006863, 2019 11.
Article em En | MEDLINE | ID: mdl-31756192
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Metagenômica Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Metagenômica Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Ano de publicação: 2019 Tipo de documento: Article