Fig. 1From: Performance of neural network basecalling tools for Oxford Nanopore sequencingRead accuracy, consensus accuracy and speed performance for each basecaller version, plotted against the release date (version numbers specified in Additional file 2: Table S3). Accuracies are expressed as qscores (also known as Phred quality scores) on a logarithmic scale where Q10 = 90%, Q20 = 99%, Q30 = 99.9%, etc. Each basecaller was run using its default model, except for Guppy v2.2.3 which was also run with its included flip-flop model and our two custom-trained modelsBack to article page