BMC Bioinformatics

Table 1 Basecalling accuracy computed using percent identity and number of unaligned reads across datasets for Guppy 4.4.0, Taiyaki 5.0, and RODAN 1.0

From: RODAN: a fully convolutional architecture for basecalling nanopore RNA sequencing data

Dataset	Basecaller	Median Accuracy	Unaligned
Human [19]	Guppy	90.60	N/A
	Taiyaki	91.16	900
	RODAN	93.23	1307
Mouse [29]	Guppy	87.65	N/A
	Taiyaki	86.25	3079
	RODAN	87.99	2819
Arabidopsis [28]	Guppy	91.59	N/A
	Taiyaki	91.10	957
	RODAN	92.89	1001
Poplar [32]	Guppy	90.16	N/A
	Taiyaki	89.72	1598
	RODAN	91.11	1652
Yeast [30]	Guppy	91.35	N/A
	Taiyaki	90.01	2721
	RODAN	91.41	3035

For each dataset, the best result is shown in bold
Each dataset contains 100, 000 reads. Only reads alignable by Guppy were used to build each dataset, hence the N/A for unaligned reads. Additional basecalling statistics are provided in Additional file 1: Table S2

Back to article page

ISSN: 1471-2105

Contact us

General enquiries: journalsubmissions@springernature.com