Table 3 Details of datasets used in evaluation
From: RUBICON: a framework for designing efficient deep learning-based genomic basecallers
Organism | Chemistry | # Reads | Reference Genome Size (bp) |
|---|---|---|---|
Acinetobacter pittii 16-377-0801 | R9.4.1 | 4467 | 3,814,719 |
Haemophilus haemolyticus M1C132_1 | R9.4 | 8669 | 2,042,591 |
Klebsiella pneumoniae INF032 | R9.4 | 15,154 | 5,111,537 |
Klebsiella pneumoniae INF042 | R9.4 | 11,278 | 5,337,491 |
Klebsiella pneumoniae KSB2_1B | R9.4 | 15,178 | 5,228,889 |
Klebsiella pneumoniae NUH29 | R9.4 | 11,047 | 5,134,281 |
Serratia marcescens 17-147-1671 | R9.4.1 | 16,847 | 5,517,578 |
Staphylococcus aureus CAS38_02 | R9.4.1 | 16,742 | 2,902,076 |
Stenotrophomonas maltophilia 17_G_0092_Kos | R9.4 | 16,010 | 4,802,733 |
Human HG002 | R9.4.1 | 300,000 | 2,947,743,500 |