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Fig. 2 | Algorithms for Molecular Biology

Fig. 2

From: A Bayesian inference method for the analysis of transcriptional regulatory networks in metagenomic data

Fig. 2

a Posterior probability of simulated eggNOG/COGs containing 100 (300 bp-long, 40 % G + C) randomly generated sequences, with 6, 9, 12, 15, 18 and 21 of them containing inserted sites sampled randomly from the CsoR motif. The plot shows the distribution of posterior probability for the eggNOG/COGs in 1000 simulated replicates as a function of the number of inserted sites. Vertical bars denote the standard deviation, with a horizontal bar indicating the median. b Sensitivity adjusted posterior probability of simulated eggNOG/COGs containing 100 (300 bp-long, 40 % G + C) randomly generated sequences, 12 of which contain inserted sites sampled randomly from the CsoR motif. The plot shows the distribution of posterior probability for the eggNOG/COGs adjusted for sensitivity in 1000 simulated replicates as a function of the sensitivity threshold θ, expressed as the number of standard deviations below the motif mean score. Vertical bars denote the standard deviation, with a horizontal bar indicating the median. The legends on top indicate the average number of sequences selected for analysis (S#) and the adjusted prior for regulation P(R) for each sensitivity threshold

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