Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica.
Emerging pathogens are a major threat to public health, however understanding how pathogens adapt to new niches remains a challenge. New methods are urgently required to provide functional insights into pathogens from the massive genomic data sets now being generated from routine pathogen surveillan...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-05-01
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| Series: | PLoS Genetics |
| Online Access: | http://europepmc.org/articles/PMC5940178?pdf=render |