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Table 1 Average absolute error and standard deviation (parentheses) are shown for each group & parameterization.

From: Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler

     Allele type
Reference Program QC Observations Consensus Minority
Flu gene segment consensuses Bowtie2 - 1.73Gb 0.30 % (2.97 %) 0.15 % (2.22 %)
+ 1.61Gb 0.28 % (2.86 %) 0.15 % (2.36 %)
IRMA - 1.99Gb 0.17 % (0.47 %) 0.08 % (0.29 %)
+ 1.97Gb 0.12 % (0.42 %) 0.05 % (0.27 %)
Assembly controls: both unmixed genomes IRMA* + 1.97Gb 0.12 % (0.40 %) 0.05 % (0.26 %)
Bowtie2 + 1.97Gb 0.12 % (0.40 %) 0.05 % (0.26 %)
  1. Observations are the total number of assembled nucleotides for all genes and mixtures in triplicate. Allele type is per mixture-replicate-gene-position showing consensus (99.994% majority, 0.006% plurality) allele error and minority allele (non-consensus) error. Bowtie2 was set to very sensitive, local assembly.
  2. *IRMA with a single round of read gathering iterations, final assembly using original references