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A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types

Fig 3

Comparison of in vivo vs. in silico gene essentiality.

(A) Contingency matrix for the comparison of in silico gene essentiality predictions of iYS854 on rich medium with in vitro observations of tn-seq mutants on TSB. The accuracy is 85.7%, which represents an increase of 10.1% with respect to the most recent model [11]. (B) The genes that fell into the category of false negatives were grouped by the biomass precursor in whose biosynthesis they participate. (C) Predictions of gene knockout on growth phenotype across defined media types. Here, we show a subset of four media types and the subset of conditionally essential genes that are not essential in at least one media type. The full data is available in S3 Table and the full cluster map is available in S1 Appendix.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1006644.g003