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Figure 1 | BMC Bioinformatics

Figure 1

From: Computational approach for calculating the probability of eukaryotic translation initiation from ribo-seq data that takes into account leaky scanning

Figure 1

The relative frequency of non-AUG TISs depends on the sensitivity of the methods and location relative to AUG TISs. A. The frequencies of non-AUG codons among all TISs (top bars) and in 5′ leaders, i.e. upstream of annotated TISs, (middle bars) for the three ribo-seq datasets. The bottom bars “# Footprints” represent the proportion of footprint reads detected at all non-AUG TISs. B. The overall number of detected TISs correlates with the sensitivity (i.e. as the TIS detection threshold is decreased). C. The proportion of non-AUG TISs also correlates with the sensitivity. For A,B,C, the distributions were generated from initiating ribosome footprint data from Lee et al. [4] (blue Human, red Mouse) and Ingolia et al. [3] (green Mouse). D. A hypothetical example is given of an mRNA with one weak (20% efficient, first blue peak) and two strong (80% efficient, last two blue peaks) TISs. Because ribosomes encounter the weak upstream TIS first, the proportion of ribosomes initiating at the first TIS is higher than that for the third downstream (strong) TIS. The green bar represents all undetected TISs downstream of the most 3′ detectable TIS.

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