Fig. 4: Diverse training data expands the representation space thus making the basecaller generalizable to novel modifications. | Nature Communications

Fig. 4: Diverse training data expands the representation space thus making the basecaller generalizable to novel modifications.

From: Training data diversity enhances the basecalling of novel RNA modification-induced nanopore sequencing readouts

Fig. 4

A Performance of individually and jointly-trained basecallers on ac4C reads was visualized with the genome viewer graph, which shows per-nucleotide CIGAR fractions. All, the jointly-trained basecaller by all the oligo types except for ac4C; other acronyms denote individually-trained basecallers. For individually (B) and jointly-trained (C) basecallers, read fragments mapped to the boxed region were first converted as representation vectors with different basecaller encoders, then visualized by a UMAP plot. Train denotes reads used for training the corresponding basecaller. D Spatial distributions of different oligo types in the UMAP space as shown in (C). Black-to-green and red palette denotes ac4C and training reads, respectively.

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