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. 2013 Dec 30;42(6):e42. doi: 10.1093/nar/gkt1326

Figure 4.

Figure 4.

Improved performance of the refined PROGNOS algorithms. (A) The performance of the two initial ZFN algorithms and the refined ‘ZFN v2.0’ algorithm are compared for their ability to predict off-target sites for all the ZFNs in the training and validation sets. Percentages of off-target sites located were calculated according to 3X limits for previous studies and within the number of sites interrogated for PROGNOS-based studies (typically the top 24 ranked sites). Error bars represent SD. (B) The expanded landscape of 38 total heterodimeric off-target sites for the CCR5 ZFNs found by four different experiment-based prediction methods and the refined ‘ZFN v2.0’ PROGNOS algorithm. The PROGNOS sites are drawn from the top rankings spanning 3X the number of predictions by the Bayesian abstraction of the in vitro cleavage profile. (**) Note that only six of the sites found using ChIP-Seq were provided by Sander et al. (11), so the full degree of overlap of all ChIP-Seq sites with sites found by other methods is unclear. (C) The performance of the four original TALEN algorithms and the refined ‘TALEN v2.0’ algorithm are compared for their ability to predict off-target sites for all TALENs in the training and validation sets.