Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection
Abstract Background Several studies demonstrated the feasibility of predicting bacterial antibiotic resistance phenotypes from whole-genome sequences, the prediction process usually amounting to detecting the presence of genes involved in antibiotic resistance mechanisms, or of specific mutations, p...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-10-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2403-z |