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A k -mer-based method for the identification of phenotype-associated genomic biomarkers and predicting phenotypes of sequenced bacteria

2018-04-16

Abstract excerpt

We have developed an easy-to-use and memory-efficient method called PhenotypeSeeker that (a) generates a k -mer-based statistical model for predicting a given phenotype and (b) predicts the phenotype from the sequencing data of a given bacterial isolate. The method was validated on 167 Klebsiella pneumoniae isolates (virulence), 200 Pseudomonas aeruginosa isolates (ciprofloxacin resistance) and 460 Clostridium...

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Literature Corpus work: 00ef376b-e029-5768-b335-21748c02a4cf
DOI: 10.1101/302026

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A <i>k</i> -mer-based method for the identification of phenotype-associated genomic biomarkers and predicting phenotypes of sequenced bacteria

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