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Fig. 5 | BMC Genomics

Fig. 5

From: Sort-seq under the hood: implications of design choices on large-scale characterization of sequence-function relations

Fig. 5

Enrichment measurements using a single sorting gate. a The enrichment ε is the the probability that a random variable takes a value larger than a given threshold. Plotted here is the enrichment for variables that follow a log normal distribution as a function of their mean, for different values of the parameter σ. bd Data from three sort-seq datasets [6, 8, 9] with multiple gates. Sort-seq reads are grouped to compute the fraction of cells above a fluorescence threshold. b For Yeast promoter data [8], which was used to infer mean and CV, the MLE mean is compared with ε for different levels of CV as in Fig. 2 g. For c bacterial promoter-RBS [6] and d regulatory RNA [9] datasets, ε was compared to the simple mean for all variants

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