Frontiers | Comparative Genomics of Staphylococcus Reveals Determinants of Speciation and Diversification of Antimicrobial Defense
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The machine learning algorithm Random Forest was applied to prioritize orthologs that drive formation of the Staphylococcus species groups A-C. The relationships between the strains generated from shared orthologues were maintained using total gene content (Suzuki et al., 2012). However, in contrast
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- The machine learning algorithm Random Forest was applied to prioritize orthologs that drive formation of the Staphylococcus species groups A-C.
- The relationships between the strains generated from shared orthologues were maintained using total gene content (Suzuki et al., 2012). However, in contrast to the conclusions of 16S rDNA and multilocus data (Takahashi et al., 1999; Lamers et al., 2012) their analysis revealed discrete clustering of Staphylococcus species. In contrast with this ana...
- The likelihood of a strain-dependent effect structuring group A was investigated by substituting S. epidermidis, S. hominis, and S. aureus strains based on multiple available genomes
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