In addition, we determined statistical enrichment of transcription factors` individual regulons at every time point (Supplementary Table 3). To this end, we restricted the list of differentially expressed genes, constructed as described above, to only those genes whose regulation was described in RegulonDB and a recently published set of regulatory connections (Faith et al., 2007). For each transcription factor both databases, we calculated the likelihood of finding the given number of its targets in this reduced query set using hypergeometric distribution, under the assumption that each transcription factor`s regulon was correctly and completely described by RegulonDB and the regulation map. Finally, as a separate analysis of differential gene expression, we conflated difference of z-scores across all time points by utilizing the formula, Zaverage Phenotypic analysis of deletion mutants To identify potential gyrase inhibitor-mediated genetic responses that contribute to cellular death in E. coli

In addition, we determined statistical enrichment of transcription factors` individual regulons at every time point (Supplementary Table 3). To this end, we restricted the list of differentially expressed genes, constructed as described above, to only those genes whose regulation was described in RegulonDB and a recently published set of regulatory connections (Faith et al., 2007). For each transcription factor both databases, we calculated the likelihood of finding the given number of its targets in this reduced query set using hypergeometric distribution, under the assumption that each transcription factor`s regulon was correctly and completely described by RegulonDB and the regulation map. Finally, as a separate analysis of differential gene expression, we conflated difference of z-scores across all time points by utilizing the formula, Zaverage Phenotypic analysis of deletion mutants To identify potential gyrase inhibitor-mediated genetic responses that contribute to cellular death in E. coli