Fig. 6: Evaluation of 6mA analysis based on HK model 2 trained through the use of whole-genome amplification with the presence of unmethylated or methylated adenines. | Communications Biology

Fig. 6: Evaluation of 6mA analysis based on HK model 2 trained through the use of whole-genome amplification with the presence of unmethylated or methylated adenines.

From: Transformer-based deep learning for accurate detection of multiple base modifications using single molecule real-time sequencing

Fig. 6

A Schematic for preparing the unmethylated and methylated adenine datasets (i.e. uA and 6mA datasets). B IPD distributions in uA and 6mA datasets. C ROC curves of 6mA detection based on HK model 2 and only the IPD metric. D False positive rates of 6mA detection based on HK model 2 and the IPD metric only. Error bars represent one standard deviation of false positive rates among five repeated measurements. E 6mA methylation levels determined by HK model 2 in non-GATC and GATC contexts in the Dam-treated DNA sample.

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