Detecting m6A RNA modification from nanopore sequencing using a semisupervised learning framework

Table 2.

Accuracy comparison between Xron and Guppy on three different data sets and their control data sets

Condition Model Identity rate (%)(↑) Identity rate change (%)
IVT Control Xron 87.35
Guppy 92.75
IVT m6A Xron 88.48 1.13
Guppy 78.28 −14.47
Yeast ime4Δ KO Xron 83.42
Guppy 92.50
Yeast Xron 83.96 0.54
Guppy 91.94 −0.56
HEK293T METTL3 KO Xron 85.91
Guppy 93.19
HEK293T Xron 87.12 1.21
Guppy 85.64 −7.55
  • The identity rate (%) was defined as the number of matched bases in the query sequence divided by the number of bases in the reference sequence (the higher the better). All reported rates are mean values among the aligned reads.

This Article

  1. Genome Res. 34: 1987-1999

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