Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity.

Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity.

Infections are a serious health concern worldwide, particularly in vulnerable populations such as the immunocompromised, elderly, and young. Advances in metagenomic sequencing availability, speed, and decreased cost offer the opportunity to supplement or even replace culture-based identification of...

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Bibliographic Details
Main Authors: George S Watts, James E Thornton, Ken Youens-Clark, Alise J Ponsero, Marvin J Slepian, Emmanuel Menashi, Charles Hu, Wuquan Deng, David G Armstrong, Spenser Reed, Lee D Cranmer, Bonnie L Hurwitz
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-11-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1006863

Internet

https://doi.org/10.1371/journal.pcbi.1006863

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