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Table 1 Flow cell run data

From: Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis

Exp/sample Flow cell # Run # # of active pores Run time (min) Total reads Pass reads Fail reads Pass/fail rate Target virus # of aligned reads Avg read length [range] (bp) Avg read error ratea
Chik1 1 First run 345 138 19,452 5,139 14,313 35.9 % CHIKV 556 455 [126–1477] 20.6 % (8–49 %)
Ebola1 1 First run 105 1022 13,090 1,831 11,259 16.3 % EBOV 41 358 [220–672] 22.0 % (12–43 %)
HepC1 2 First run 171 122 10,305 729 9,877 7.4 % HCV 6 572 [318–792] 33.1 % (24–46 %)
HepC1 2 Reload #1 293 192 26,626 2,155 25,758 8.4 % HCV    
HepC1 2 Reload #2 256 298 32,212 1,207 31,289 3.9 % HCV    
HepC1 2 Reload #3 214 156 14,805 287 14,275 2.0 % HCV    
Ebola2 3 First run 397 79 28,651 1,537 27,114 5.7 % EBOV 593 456 [189–1430] 22.3 % (8–48 %)
Ebola2 3 Reload #1 426 222 95,861 2,899 92,962 3.1 % EBOV    
Ebola2 3 Reload #2 380 1091 166,524 1,539 164,985 0.9 % EBOV    
Ebola2 3 Reload #3 200 1357 44,272 34 44,238 0.1 % EBOV    
TOTAL      451,798 17,357 436,070 4.0 %    452 [126–1477] 24.3 % (8–49 %)
  1. Expexperiment, CHIKV chikungunya virus, EBOV Ebola virus, HCV, hepatitis C virus
  2. aBased on average pairwise identity of aligned viral reads to the most closely matched reference sequence